EM Algorithm for Mixtures of Normals with Repeated Measurements
repnormmixEM.RdReturns EM algorithm output for mixtures of normals with repeated measurements and arbitrarily many components.
Usage
repnormmixEM(x, lambda = NULL, mu = NULL, sigma = NULL, k = 2,
arbmean = TRUE, arbvar = TRUE, epsilon = 1e-08,
maxit = 10000, verb = FALSE)Arguments
- x
An mxn matrix of data. The columns correspond to the subjects and the rows correspond to the repeated measurements.
- lambda
Initial value of mixing proportions. Entries should sum to 1. This determines number of components. If NULL, then
lambdais random from uniform Dirichlet and number of components is determined bymu.- mu
A k-vector of component means. If NULL, then
muis determined by a normal distribution according to a binning method done on the data. If bothlambdaandmuare NULL, then number of components is determined bysigma.- sigma
A vector of standard deviations. If NULL, then \(1/\code{sigma}^2\) has random standard exponential entries according to a binning method done on the data. If
lambda,mu, andsigmaare NULL, then number of components is determined byk.- k
Number of components. Ignored unless all of
lambda,mu, andsigmaare NULL.- arbmean
If TRUE, then the component densities are allowed to have different
mus. If FALSE, then a scale mixture will be fit.- arbvar
If TRUE, then the component densities are allowed to have different
sigmas. If FALSE, then a location mixture will be fit.- epsilon
The convergence criterion.
- maxit
The maximum number of iterations.
- verb
If TRUE, then various updates are printed during each iteration of the algorithm.
Value
repnormmixEM returns a list of class mixEM with items:
- x
The raw data.
- lambda
The final mixing proportions.
- mu
The final mean parameters.
- sigma
The final standard deviations. If
arbmean= FALSE, then only the smallest standard deviation is returned. Seescalebelow.- scale
If
arbmean= FALSE, then the scale factor for the component standard deviations is returned. Otherwise, this is omitted from the output.- loglik
The final log-likelihood.
- posterior
An nxk matrix of posterior probabilities for observations.
- all.loglik
A vector of each iteration's log-likelihood.
- restarts
The number of times the algorithm restarted due to unacceptable choice of initial values.
- ft
A character vector giving the name of the function.
References
Hettmansperger, T. P. and Thomas, H. (2000) Almost Nonparametric Inference for Repeated Measures in Mixture Models, Journal of the Royals Statistical Society, Series B 62(4) 811–825.
Examples
## EM output for the water-level task data set.
data(Waterdata)
set.seed(100)
water <- t(as.matrix(Waterdata[,3:10]))
em.out <- repnormmixEM(water, k = 2, verb = TRUE, epsilon = 1e-03)
#> iteration= 1 diff= 796.8128 log-likelihood -13618.09
#> iteration= 2 diff= 146.0028 log-likelihood -13472.09
#> iteration= 3 diff= 82.85401 log-likelihood -13389.24
#> iteration= 4 diff= 55.52137 log-likelihood -13333.71
#> iteration= 5 diff= 68.02267 log-likelihood -13265.69
#> iteration= 6 diff= 72.15608 log-likelihood -13193.54
#> iteration= 7 diff= 41.75195 log-likelihood -13151.78
#> iteration= 8 diff= 16.33347 log-likelihood -13135.45
#> iteration= 9 diff= 8.455728 log-likelihood -13126.99
#> iteration= 10 diff= 4.076099 log-likelihood -13122.92
#> iteration= 11 diff= 1.935744 log-likelihood -13120.98
#> iteration= 12 diff= 0.9777722 log-likelihood -13120.01
#> iteration= 13 diff= 0.5172993 log-likelihood -13119.49
#> iteration= 14 diff= 0.2843965 log-likelihood -13119.2
#> iteration= 15 diff= 0.1615738 log-likelihood -13119.04
#> iteration= 16 diff= 0.0942537 log-likelihood -13118.95
#> iteration= 17 diff= 0.05610273 log-likelihood -13118.89
#> iteration= 18 diff= 0.0338962 log-likelihood -13118.86
#> iteration= 19 diff= 0.02070403 log-likelihood -13118.84
#> iteration= 20 diff= 0.01274722 log-likelihood -13118.82
#> iteration= 21 diff= 0.007894238 log-likelihood -13118.82
#> iteration= 22 diff= 0.004909948 log-likelihood -13118.81
#> iteration= 23 diff= 0.003063645 log-likelihood -13118.81
#> iteration= 24 diff= 0.001916235 log-likelihood -13118.81
#> iteration= 25 diff= 0.001200754 log-likelihood -13118.81
#> iteration= 26 diff= 0.0007534712 log-likelihood -13118.8
#> number of iterations= 26
em.out
#> $x
#> 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
#> 11o'clock -16 -12 7 6 32 55 8 -12 -14 1 -9 -5 -9 -13 -27 9 -15
#> 4o'clock 30 13 -85 55 58 29 35 26 -29 0 34 26 42 -84 23 -80 7
#> 2o'clock -5 -15 -27 -5 -61 -30 -22 -20 -18 -6 -30 -15 -11 -13 -27 -42 -22
#> 7o'clock 8 -64 -81 1 -30 10 -55 13 2 -2 1 -11 -27 -42 3 -49 -5
#> 10o'clock 30 21 39 36 60 30 29 28 8 -6 24 31 15 27 32 42 21
#> 5o'clock 1 17 -2 -3 28 -4 11 -3 -8 -5 -12 7 42 23 -6 10 8
#> 1o'clock 0 -46 -10 5 -30 -5 -3 17 -4 -2 1 -9 -9 9 3 -5 -11
#> 8o'clock -26 -66 -12 -14 -60 -25 -22 -16 -14 -2 -22 -25 -33 -77 -19 -36 -25
#> 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
#> 11o'clock 12 24 -11 -6 2 -15 -19 -8 6 -1 -3 -18 -19 -22 -9 5 -25
#> 4o'clock 25 81 4 10 26 8 5 -21 89 0 13 23 -70 13 14 11 -82
#> 2o'clock -17 -79 -34 -12 -21 -6 -9 -23 -17 -1 -22 -4 -24 -13 -16 -12 -83
#> 7o'clock -40 -38 14 11 -9 14 16 -53 -15 0 -4 23 13 4 2 -52 -33
#> 10o'clock 3 77 8 14 20 4 15 -5 34 0 36 10 10 -4 3 10 43
#> 5o'clock 2 21 2 -17 10 -2 -16 66 0 1 3 -1 -12 -8 6 4 24
#> 1o'clock -47 -47 -56 13 2 8 12 -52 -1 2 3 2 25 1 8 7 -25
#> 8o'clock -30 -68 72 -18 -37 -13 -14 83 -17 3 -31 -14 -2 -19 -12 -27 -61
#> 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52
#> 11o'clock 4 54 30 -8 1 -25 -15 46 -5 0 4 0 0 -4 6 -14 7 1
#> 4o'clock 63 63 53 31 19 -1 -5 42 20 34 4 8 1 23 30 -2 -2 4
#> 2o'clock -86 86 -70 -80 -26 7 0 -17 58 -22 -4 -11 0 -15 -21 0 5 -10
#> 7o'clock -37 -18 -37 -57 -3 37 0 -27 28 -58 4 1 0 9 5 2 0 -12
#> 10o'clock 90 77 61 83 0 6 3 34 13 20 13 7 1 24 21 -7 6 15
#> 5o'clock 28 42 25 58 -18 -26 0 30 -1 -15 -11 -11 -4 71 5 -12 5 -1
#> 1o'clock -58 -57 -32 -59 -5 29 4 -22 18 21 3 -4 -3 1 2 -1 2 -10
#> 8o'clock -84 -76 -63 -88 -26 9 -7 -35 -16 -10 -11 -18 -8 -24 -16 -14 9 -18
#> 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69
#> 11o'clock 14 -15 -11 -1 2 1 -1 -3 -9 -7 7 -2 -29 0 57 0 60
#> 4o'clock 23 3 86 34 18 31 2 8 32 19 -16 24 9 51 81 12 27
#> 2o'clock -42 -4 -42 -24 -29 -23 -3 -13 87 -30 -20 -88 -12 -25 85 -19 -16
#> 7o'clock 0 -7 -56 5 -29 -2 0 -10 -40 20 -54 2 18 -25 -70 13 10
#> 10o'clock 38 -4 20 26 20 36 -1 13 49 26 41 -82 12 34 85 26 25
#> 5o'clock 4 -16 57 -1 -8 14 1 -2 46 -10 60 61 -14 22 52 -9 57
#> 1o'clock -3 -7 15 -1 -11 0 2 -5 -50 -53 54 -53 20 -42 -10 10 0
#> 8o'clock -22 -16 -22 -34 -25 -31 -2 -16 88 -18 89 -34 -15 -61 -32 -18 -16
#> 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
#> 11o'clock -12 -8 -2 5 1 30 6 2 34 27 -20 -6 0 9 1 15 2 0 53
#> 4o'clock 8 -52 10 -22 -1 61 -46 3 58 19 10 3 2 4 0 7 -1 1 -72
#> 2o'clock -19 -18 -25 -7 4 -60 -11 70 -61 20 -11 -5 0 -17 -1 -6 -2 -1 71
#> 7o'clock 10 -7 14 -5 1 -28 -60 -52 -30 -57 -1 0 2 -3 -1 -4 0 -1 14
#> 10o'clock 21 25 19 5 7 60 5 46 62 20 -1 1 -1 12 -1 3 -3 2 -81
#> 5o'clock -17 1 -15 -12 1 30 6 50 31 7 -18 -11 0 6 1 6 2 0 70
#> 1o'clock 14 -3 13 -4 -3 -28 4 -53 -30 9 2 -2 1 -10 -4 -1 0 1 9
#> 8o'clock -7 -24 -18 -2 6 -58 -2 -27 -57 -7 -17 -20 -7 -9 0 -3 -3 1 4
#> 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105
#> 11o'clock -3 9 -25 -27 3 5 0 -4 -2 -23 -3 -2 -1 -5 7 7 -16
#> 4o'clock 3 18 4 5 6 25 23 23 12 18 21 16 15 31 1 36 11
#> 2o'clock -10 -32 -6 -6 -15 0 84 26 -2 -9 -21 -21 -13 -26 1 -28 -20
#> 7o'clock -15 -3 5 -39 -9 -6 5 -3 -25 10 10 -42 6 19 -4 -11 -3
#> 10o'clock 1 28 5 3 10 7 24 23 3 19 14 -36 15 24 -3 29 33
#> 5o'clock -6 54 -6 42 12 7 -6 -3 -1 -18 -14 -17 -10 -5 4 -2 2
#> 1o'clock -3 -49 8 -2 17 -5 11 0 22 19 10 -5 19 -5 -5 17 -9
#> 8o'clock -4 -31 -8 -24 -30 -32 -24 -23 -11 -5 -22 -24 -13 -31 -5 -30 -8
#> 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122
#> 11o'clock 1 -1 2 -8 1 5 -1 -9 0 -2 2 -2 -2 0 0 0 2
#> 4o'clock 3 16 1 19 1 2 2 14 3 21 -16 21 25 9 14 2 -4
#> 2o'clock 4 -3 2 -3 -3 3 0 -2 -3 1 -18 -9 8 5 -17 -9 0
#> 7o'clock 5 -3 -2 1 -10 -8 1 3 -6 14 0 -2 -15 1 17 -1 0
#> 10o'clock 9 30 -7 4 -2 -1 0 20 3 16 2 29 2 3 20 6 -3
#> 5o'clock 6 84 -7 -26 7 3 -1 -10 6 -4 9 10 2 2 -1 -13 -5
#> 1o'clock 9 -81 3 -3 -12 -1 2 16 -7 7 -16 -7 -11 -2 15 0 -3
#> 8o'clock 1 65 -1 82 -10 0 0 -13 -4 -14 -2 -17 -17 -2 -15 -3 -3
#> 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139
#> 11o'clock -1 -15 1 -1 32 -6 0 0 -2 -2 -4 -7 7 1 -2 7 -14
#> 4o'clock 4 -64 2 -2 8 7 -4 20 4 -1 4 2 1 -4 8 4 3
#> 2o'clock 1 -13 0 -3 -17 0 -1 -3 4 1 -6 -7 2 -4 0 -2 -11
#> 7o'clock -5 -64 -3 -1 10 -5 -6 -9 3 -1 -8 -5 2 -1 0 2 -3
#> 10o'clock -2 16 -2 0 15 -3 -5 9 0 -4 5 2 1 -5 2 3 2
#> 5o'clock 0 59 -2 -1 -15 -4 -7 4 1 -2 6 5 5 -2 1 4 -3
#> 1o'clock -4 -56 -3 -1 8 2 -6 0 1 0 -4 -9 2 -3 3 2 -2
#> 8o'clock -3 -16 -1 -2 -12 -5 -7 -24 5 -1 -14 -8 2 -7 0 0 -7
#> 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156
#> 11o'clock 0 52 -4 -8 3 -9 -11 73 -16 -11 3 5 -17 -19 -1 -4 1
#> 4o'clock -1 -83 -72 12 1 12 83 -75 3 24 3 8 18 85 25 30 0
#> 2o'clock -2 -51 -4 -11 0 -17 -33 77 -19 -16 -1 -5 -29 -8 -15 -13 -3
#> 7o'clock -5 -3 -50 7 -1 -15 -4 -26 3 7 0 5 0 -56 -8 -2 0
#> 10o'clock -1 86 23 17 -1 7 25 -73 27 24 4 14 12 26 25 19 2
#> 5o'clock 1 61 -12 5 3 -28 54 88 2 -12 1 9 -15 58 -1 -1 0
#> 1o'clock -1 -62 29 10 0 -4 -50 17 -9 11 2 5 11 1 4 12 2
#> 8o'clock -1 5 -8 -8 -2 -2 -34 64 -20 -12 -1 -10 -7 -8 -24 -21 1
#> 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173
#> 11o'clock -13 -10 -38 -17 -12 17 8 45 15 -8 2 1 -4 -1 -6 -2 -1
#> 4o'clock 18 32 -2 10 11 18 47 76 4 9 20 3 5 12 31 1 2
#> 2o'clock -12 -11 9 -20 -16 -79 -38 -39 -15 -10 -16 -8 7 -18 -43 -7 -1
#> 7o'clock -58 -2 25 -12 13 -5 -20 -15 -11 0 -32 -5 -4 4 -67 -3 -3
#> 10o'clock 5 7 -11 -2 13 34 58 46 6 4 17 2 -15 18 36 -6 -1
#> 5o'clock -6 14 -26 -13 -15 21 19 36 5 -2 20 3 2 -24 4 7 2
#> 1o'clock 13 1 27 13 11 -51 -49 -14 -2 -5 -30 -11 7 -4 6 -5 -4
#> 8o'clock -8 -15 3 1 -16 84 89 -15 -2 -10 84 -3 -17 -18 -81 -3 1
#> 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190
#> 11o'clock -3 -1 9 5 8 0 8 -2 -8 -2 2 -1 -1 1 10 8 1
#> 4o'clock 3 20 3 13 -1 3 37 -2 26 0 26 25 -2 6 3 -2 9
#> 2o'clock -4 -3 -2 -12 -2 -2 -26 -5 -17 -2 82 -25 0 -5 -3 4 -2
#> 7o'clock -4 -1 -9 -1 -3 3 2 -1 -12 -1 -48 -2 -3 -3 -1 -3 8
#> 10o'clock 7 5 2 17 -1 6 21 1 21 -3 30 20 -2 20 5 -1 1
#> 5o'clock -2 4 -7 -6 3 4 -4 -2 6 -1 -13 -28 0 7 1 4 -7
#> 1o'clock -12 14 -12 11 0 0 4 -2 8 -6 -62 17 -1 -3 -3 -5 2
#> 8o'clock 1 -9 -8 -25 -2 -1 -20 -5 -22 2 -83 -9 -2 -4 -2 -5 -3
#> 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207
#> 11o'clock 31 -10 -11 5 5 0 8 0 8 5 -5 7 -10 -12 -1 3 2
#> 4o'clock 58 30 -39 3 6 0 3 4 -6 26 -70 8 20 19 7 -3 -6
#> 2o'clock -18 -10 -14 0 -19 -3 0 0 -7 -10 -13 -2 -21 -22 -25 -12 -9
#> 7o'clock -28 17 -16 -16 3 -3 -2 -14 -14 -47 -2 -4 -1 6 2 -2 -4
#> 10o'clock -9 14 -13 -16 13 -9 -62 3 -10 14 21 2 18 23 5 -4 14
#> 5o'clock -3 -13 55 10 7 0 45 13 -6 50 72 17 -8 -7 7 3 -5
#> 1o'clock -16 15 -12 -1 0 -14 -46 -9 3 -3 4 -2 -42 9 -4 2 -9
#> 8o'clock -16 -8 -45 3 -19 -15 -35 1 -10 -11 74 -12 -16 -17 -29 -3 -3
#> 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224
#> 11o'clock 1 0 0 0 0 1 0 2 4 -9 -6 3 0 15 5 -2 0
#> 4o'clock 24 35 -2 4 0 0 18 1 0 -1 25 6 2 4 4 25 3
#> 2o'clock -39 -18 2 -1 -2 -1 -3 3 -2 -7 -21 1 -5 -21 -4 -28 5
#> 7o'clock 2 -2 0 -1 0 0 6 0 -5 0 8 2 -5 10 0 0 1
#> 10o'clock 18 31 -1 1 0 -1 4 0 -2 6 2 3 -2 20 5 26 0
#> 5o'clock 9 1 -3 4 0 2 7 2 2 -1 -10 4 -3 -8 3 1 1
#> 1o'clock -6 10 -4 -5 0 0 -4 0 -5 0 16 -1 -5 3 0 -2 2
#> 8o'clock -39 -26 -1 -1 -1 -1 -3 3 -1 -2 -16 0 -3 -19 -2 -35 -1
#> 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241
#> 11o'clock -1 3 -22 4 -7 -3 -1 -27 4 3 3 -21 -7 -17 -25 -25 -2
#> 4o'clock 1 22 -50 60 -69 2 -3 3 -4 21 2 47 46 31 19 -1 3
#> 2o'clock -3 -22 -5 -33 -35 -6 1 64 -8 2 1 -14 5 -17 -17 -1 2
#> 7o'clock -2 -44 -44 -22 7 -11 -1 27 6 1 -2 -37 8 7 -29 18 5
#> 10o'clock 5 21 7 87 24 -1 -2 -62 1 5 -5 12 20 0 9 13 2
#> 5o'clock 0 0 5 49 -6 0 -4 87 -15 -1 2 27 5 10 -12 -14 1
#> 1o'clock 2 -7 -4 -53 6 -4 -10 27 11 -1 -1 18 14 1 14 25 -1
#> 8o'clock -3 -21 0 -87 -19 -5 -17 -3 -9 -5 -3 -60 -12 -20 -56 -35 6
#> 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258
#> 11o'clock 1 55 0 2 13 7 -1 0 30 8 0 -7 70 52 4 59 58
#> 4o'clock 3 15 4 -1 20 3 2 17 15 18 2 3 18 -80 30 29 18
#> 2o'clock -3 -20 2 2 -5 2 -2 -15 -16 -13 2 -4 -9 -61 -32 90 81
#> 7o'clock -1 17 -2 -2 0 -14 1 -2 3 9 4 -5 6 -35 9 -38 2
#> 10o'clock 0 15 -2 -1 7 -10 2 16 5 26 0 -4 26 -83 31 35 26
#> 5o'clock 2 -12 1 -3 7 8 -3 -9 -1 3 0 12 -8 31 5 1 -2
#> 1o'clock 0 -63 -1 -1 -2 -8 0 -4 5 13 0 9 -75 -67 -9 -58 8
#> 8o'clock -5 83 2 -3 1 -4 -2 60 -19 -9 -1 -5 84 -60 -26 88 -11
#> 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275
#> 11o'clock 29 -3 -4 -2 -26 -3 -20 37 1 -7 -7 3 -15 5 2 -1 -7
#> 4o'clock 59 3 1 3 -73 3 16 66 1 -5 1 -5 15 4 2 1 29
#> 2o'clock -57 0 -4 -1 -2 1 -15 -63 -3 -11 -10 -10 -2 -1 2 -2 -28
#> 7o'clock -29 -2 -3 -2 -16 -2 14 -22 -4 -8 9 -5 4 1 0 2 7
#> 10o'clock 62 3 0 -3 11 0 18 65 0 -4 9 -4 25 4 3 -2 16
#> 5o'clock 34 1 11 0 4 -3 -16 30 1 -7 -15 2 11 3 0 -1 -7
#> 1o'clock -30 -1 -6 -2 -57 -4 22 -26 0 -10 14 -12 15 -10 0 -2 -3
#> 8o'clock -63 -10 2 -3 -32 -3 -4 -61 1 -11 -15 -5 -22 -5 -3 -2 -21
#> 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292
#> 11o'clock 8 7 -1 1 0 7 2 1 14 31 -9 -2 0 0 5 29 5
#> 4o'clock 3 3 0 -1 -63 22 -1 1 -5 31 81 5 29 10 12 61 -1
#> 2o'clock 1 -7 0 0 -7 -46 -5 1 -4 -57 44 -10 -34 57 -28 -55 2
#> 7o'clock 1 -6 -5 -2 28 -10 -9 -2 -1 -30 -34 7 -2 -66 1 -29 -2
#> 10o'clock 0 -1 -2 0 8 40 -5 2 -8 59 3 15 24 28 13 63 -2
#> 5o'clock 4 -4 0 2 -22 8 -3 -2 0 28 44 -6 18 27 -16 30 -2
#> 1o'clock -2 4 -6 -9 23 -4 -2 -3 5 -32 8 -10 -3 9 2 -27 -3
#> 8o'clock -2 -1 -3 0 -2 -41 -7 -2 -7 -63 -22 -3 -41 81 -10 -58 -5
#> 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309
#> 11o'clock 2 -1 7 3 2 -5 10 -1 -1 0 0 -3 0 -1 -15 2 0
#> 4o'clock 0 -2 -59 0 -2 3 31 16 9 10 0 4 1 1 -1 1 -1
#> 2o'clock -1 -2 -19 -1 -2 -2 8 -10 -1 -11 0 -5 3 -2 -11 -1 -1
#> 7o'clock 0 -2 3 6 -1 -3 22 8 -2 -1 0 -8 3 -5 13 0 -3
#> 10o'clock 0 -3 7 5 -3 2 4 9 4 6 0 1 1 -2 -15 0 -2
#> 5o'clock -1 0 -4 2 0 -3 5 -14 3 -1 -1 4 1 1 -11 5 0
#> 1o'clock -2 -2 -2 3 -4 -8 20 15 4 -6 -3 -5 2 -1 -1 -6 -3
#> 8o'clock -1 -4 -11 -3 -3 -2 1 -13 -2 -6 0 -2 1 1 -6 -2 0
#> 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326
#> 11o'clock 3 -13 2 -10 -5 -4 6 1 6 0 14 -9 -26 12 1 4 -15
#> 4o'clock -3 10 2 -13 1 -2 31 7 -1 23 -61 11 14 32 -4 1 11
#> 2o'clock -1 -15 -1 -2 -8 -3 -31 4 -27 -24 -29 -12 -3 -20 1 -3 4
#> 7o'clock -2 -58 3 -7 -8 -1 1 12 8 -5 32 4 5 0 -5 0 10
#> 10o'clock -1 30 2 -18 14 -2 24 13 15 4 -2 11 8 9 -2 0 5
#> 5o'clock -1 -1 3 0 10 -2 0 -3 -1 8 -43 -25 -13 4 -2 2 8
#> 1o'clock -2 9 2 -3 -3 -1 10 16 20 0 34 12 3 -2 -3 -3 20
#> 8o'clock 0 -8 -1 -7 -7 -6 -26 -6 -13 -3 11 -11 -15 -37 0 2 -7
#> 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343
#> 11o'clock -2 -14 59 0 -2 -19 1 -2 -17 -3 4 -6 -1 2 2 0 -1
#> 4o'clock 0 10 15 5 17 5 0 3 -49 -2 -2 1 -2 4 2 1 1
#> 2o'clock -16 -3 -29 -3 -8 6 1 -1 -20 -2 1 0 -3 -1 -3 0 -1
#> 7o'clock 14 13 13 4 2 -28 0 0 1 -1 -1 35 -2 0 0 0 -5
#> 10o'clock 21 19 21 0 14 -5 -2 0 -5 -1 0 -4 0 3 0 1 -2
#> 5o'clock -19 -4 -7 -4 3 27 2 -2 -15 -2 2 -21 -7 11 -1 -2 5
#> 1o'clock 11 5 23 -5 -5 -9 0 2 11 0 0 30 0 -5 -3 -2 -8
#> 8o'clock -4 -10 -38 -7 -3 2 -1 -2 -10 1 3 2 -2 0 -2 -1 -3
#> 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
#> 11o'clock 0 0 1 -5 -3 30 -19 1 23 2 -3 0 -1 28 1 -16 -4
#> 4o'clock -1 9 -2 6 -48 38 19 7 15 0 -3 -1 4 31 -6 -84 -2
#> 2o'clock -1 3 1 -1 -27 24 82 -2 1 -1 -25 0 -1 -25 -5 -2 -6
#> 7o'clock -1 -5 -3 0 -69 -7 -64 1 1 4 -10 1 1 -5 -3 6 -1
#> 10o'clock -3 -1 1 3 23 29 17 4 16 0 28 1 -1 11 -2 -67 -5
#> 5o'clock 1 8 1 -6 67 -3 -12 -3 -6 1 -9 1 -2 16 0 -24 -3
#> 1o'clock -2 -7 -6 0 -71 -5 -6 1 13 6 -4 7 0 2 -7 32 -2
#> 8o'clock 0 -14 -4 5 74 -17 -11 -4 -15 7 -32 -2 -5 -4 -2 -20 -5
#> 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377
#> 11o'clock 0 -11 0 0 2 0 0 4 -6 2 0 2 29 2 -1 -2 4
#> 4o'clock 11 18 0 -1 -1 0 3 16 22 21 5 -64 -1 2 29 -2 18
#> 2o'clock -20 -21 0 -1 -1 -1 -3 -9 -8 -45 -11 -11 -1 -3 3 -3 -30
#> 7o'clock 6 15 0 -3 -2 -5 -3 -9 -27 -15 -3 -64 1 -2 7 1 1
#> 10o'clock 12 27 -2 -1 -4 -2 -2 26 28 -1 2 -62 -2 3 5 -4 18
#> 5o'clock -7 -8 1 2 -4 3 0 6 0 -14 -5 74 -1 1 -2 0 -5
#> 1o'clock -9 9 -1 0 -4 0 -5 6 12 3 8 20 -3 -1 4 1 4
#> 8o'clock -24 -16 1 1 1 2 -3 -13 -30 -11 -4 0 -5 0 -5 -2 9
#> 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394
#> 11o'clock 0 -1 0 0 -1 9 -1 0 -1 -1 4 1 0 -13 28 29 -8
#> 4o'clock 6 -1 3 0 3 -1 -5 -2 0 0 2 2 7 -68 58 60 6
#> 2o'clock 1 0 -1 -4 -6 -3 -4 1 2 -2 -4 -3 -5 85 -64 -59 66
#> 7o'clock 2 -1 -3 -4 -4 -3 -4 1 -3 0 2 -1 0 -73 -31 -27 6
#> 10o'clock 3 0 -1 -3 2 0 -3 0 -5 0 1 -1 4 22 56 61 15
#> 5o'clock 2 -3 -1 -2 -1 4 -1 4 -2 -2 -2 -1 -4 88 30 31 -7
#> 1o'clock 2 1 -3 -4 -3 -11 1 -3 -2 -2 4 0 -3 13 -29 -32 8
#> 8o'clock -1 -1 -2 -3 -4 -4 -2 1 -1 -1 -3 -1 -5 65 -63 -56 -11
#> 395 396 397 398 399 400 401 402 403 404 405
#> 11o'clock 9 1 31 5 -3 -2 -4 1 8 -5 -10
#> 4o'clock 7 2 60 0 3 -1 2 2 -4 10 15
#> 2o'clock -17 -5 -59 -1 -13 -1 -1 -2 -9 -28 -4
#> 7o'clock -18 -7 -31 0 0 -3 1 -2 -5 6 6
#> 10o'clock 18 -7 60 -1 2 -4 5 2 -6 25 4
#> 5o'clock -7 4 30 -1 -1 -4 1 -1 -2 8 -1
#> 1o'clock 4 -9 -30 4 0 -5 -2 2 -1 -3 6
#> 8o'clock -22 -6 -60 0 -11 -6 0 1 -3 -13 -2
#>
#> $lambda
#> [1] 0.4219486 0.5780514
#>
#> $mu
#> [1] -0.7655391 -0.2591835
#>
#> $sigma
#> [1] 4.059752 29.542423
#>
#> $loglik
#> [1] -13118.8
#>
#> $posterior
#> comp.1 comp.2
#> [1,] 6.547393e-31 1.000000e+00
#> [2,] 8.065755e-144 1.000000e+00
#> [3,] 1.656249e-201 1.000000e+00
#> [4,] 3.220215e-55 1.000000e+00
#> [5,] 5.136385e-225 1.000000e+00
#> [6,] 2.756914e-78 1.000000e+00
#> [7,] 2.157890e-74 1.000000e+00
#> [8,] 6.644382e-30 1.000000e+00
#> [9,] 1.668332e-14 1.000000e+00
#> [10,] 9.999981e-01 1.921539e-06
#> [11,] 6.160102e-37 1.000000e+00
#> [12,] 1.092867e-29 1.000000e+00
#> [13,] 8.041566e-70 1.000000e+00
#> [14,] 9.959174e-203 1.000000e+00
#> [15,] 6.576314e-38 1.000000e+00
#> [16,] 1.336399e-169 1.000000e+00
#> [17,] 1.875144e-19 1.000000e+00
#> [18,] 8.012640e-67 1.000000e+00
#> [19,] 0.000000e+00 1.000000e+00
#> [20,] 1.507219e-121 1.000000e+00
#> [21,] 9.766736e-12 1.000000e+00
#> [22,] 1.348963e-33 1.000000e+00
#> [23,] 5.515192e-04 9.994485e-01
#> [24,] 9.105610e-14 1.000000e+00
#> [25,] 7.803712e-224 1.000000e+00
#> [26,] 1.146558e-123 1.000000e+00
#> [27,] 9.999996e-01 3.895857e-07
#> [28,] 4.626823e-32 1.000000e+00
#> [29,] 2.172556e-16 1.000000e+00
#> [30,] 2.834227e-81 1.000000e+00
#> [31,] 1.346858e-09 1.000000e+00
#> [32,] 3.759169e-04 9.996241e-01
#> [33,] 3.744339e-43 1.000000e+00
#> [34,] 1.584458e-274 1.000000e+00
#> [35,] 0.000000e+00 1.000000e+00
#> [36,] 0.000000e+00 1.000000e+00
#> [37,] 8.393392e-243 1.000000e+00
#> [38,] 0.000000e+00 1.000000e+00
#> [39,] 1.267097e-19 1.000000e+00
#> [40,] 3.037149e-42 1.000000e+00
#> [41,] 9.987797e-01 1.220331e-03
#> [42,] 6.495614e-107 1.000000e+00
#> [43,] 4.559912e-65 1.000000e+00
#> [44,] 4.227561e-73 1.000000e+00
#> [45,] 7.182197e-01 2.817803e-01
#> [46,] 1.826908e-02 9.817309e-01
#> [47,] 9.999983e-01 1.654114e-06
#> [48,] 1.057487e-86 1.000000e+00
#> [49,] 3.776969e-22 1.000000e+00
#> [50,] 4.927361e-01 5.072639e-01
#> [51,] 9.993130e-01 6.869520e-04
#> [52,] 3.577506e-05 9.999642e-01
#> [53,] 1.252869e-51 1.000000e+00
#> [54,] 5.085248e-04 9.994915e-01
#> [55,] 1.398127e-211 1.000000e+00
#> [56,] 1.713411e-40 1.000000e+00
#> [57,] 2.286831e-34 1.000000e+00
#> [58,] 1.571602e-45 1.000000e+00
#> [59,] 9.999996e-01 3.747428e-07
#> [60,] 9.507119e-04 9.990493e-01
#> [61,] 0.000000e+00 1.000000e+00
#> [62,] 1.590738e-65 1.000000e+00
#> [63,] 3.884128e-252 1.000000e+00
#> [64,] 3.418314e-284 1.000000e+00
#> [65,] 3.215150e-24 1.000000e+00
#> [66,] 7.735439e-135 1.000000e+00
#> [67,] 0.000000e+00 1.000000e+00
#> [68,] 2.771869e-18 1.000000e+00
#> [69,] 8.456124e-111 1.000000e+00
#> [70,] 3.219729e-15 1.000000e+00
#> [71,] 1.670432e-48 1.000000e+00
#> [72,] 7.931082e-20 1.000000e+00
#> [73,] 3.691111e-03 9.963089e-01
#> [74,] 9.999875e-01 1.248464e-05
#> [75,] 4.068201e-222 1.000000e+00
#> [76,] 5.986185e-69 1.000000e+00
#> [77,] 1.862286e-198 1.000000e+00
#> [78,] 7.980380e-228 1.000000e+00
#> [79,] 1.843782e-63 1.000000e+00
#> [80,] 6.398149e-09 1.000000e+00
#> [81,] 3.875886e-01 6.124114e-01
#> [82,] 9.999990e-01 1.013086e-06
#> [83,] 1.241248e-03 9.987588e-01
#> [84,] 9.999997e-01 2.984765e-07
#> [85,] 9.646453e-01 3.535472e-02
#> [86,] 9.999996e-01 4.018244e-07
#> [87,] 9.999997e-01 3.021247e-07
#> [88,] 0.000000e+00 1.000000e+00
#> [89,] 9.938374e-01 6.162575e-03
#> [90,] 1.145509e-103 1.000000e+00
#> [91,] 4.483336e-05 9.999552e-01
#> [92,] 2.710254e-53 1.000000e+00
#> [93,] 6.027901e-17 1.000000e+00
#> [94,] 1.016830e-17 1.000000e+00
#> [95,] 1.531482e-111 1.000000e+00
#> [96,] 1.797675e-24 1.000000e+00
#> [97,] 6.336609e-12 1.000000e+00
#> [98,] 1.971201e-21 1.000000e+00
#> [99,] 2.495329e-19 1.000000e+00
#> [100,] 1.833305e-51 1.000000e+00
#> [101,] 5.369936e-11 1.000000e+00
#> [102,] 1.100250e-40 1.000000e+00
#> [103,] 9.999886e-01 1.141198e-05
#> [104,] 1.042148e-49 1.000000e+00
#> [105,] 5.770994e-20 1.000000e+00
#> [106,] 9.980399e-01 1.960070e-03
#> [107,] 9.856943e-242 1.000000e+00
#> [108,] 9.999951e-01 4.853517e-06
#> [109,] 7.603767e-97 1.000000e+00
#> [110,] 9.898374e-01 1.016259e-02
#> [111,] 9.999933e-01 6.654204e-06
#> [112,] 9.999997e-01 3.206354e-07
#> [113,] 4.233863e-10 1.000000e+00
#> [114,] 9.999817e-01 1.825248e-05
#> [115,] 8.897639e-10 1.000000e+00
#> [116,] 3.029584e-05 9.999697e-01
#> [117,] 7.525333e-18 1.000000e+00
#> [118,] 4.027889e-11 1.000000e+00
#> [119,] 9.999811e-01 1.892997e-05
#> [120,] 1.127622e-15 1.000000e+00
#> [121,] 9.993440e-01 6.559595e-04
#> [122,] 9.999992e-01 8.187301e-07
#> [123,] 9.999989e-01 1.079720e-06
#> [124,] 6.896263e-194 1.000000e+00
#> [125,] 9.999996e-01 3.604654e-07
#> [126,] 9.999998e-01 2.263287e-07
#> [127,] 3.522414e-22 1.000000e+00
#> [128,] 9.999862e-01 1.384055e-05
#> [129,] 9.999791e-01 2.090886e-05
#> [130,] 5.480483e-09 1.000000e+00
#> [131,] 9.999964e-01 3.581374e-06
#> [132,] 9.999997e-01 2.918477e-07
#> [133,] 9.871972e-01 1.280283e-02
#> [134,] 9.995537e-01 4.462978e-04
#> [135,] 9.999914e-01 8.559938e-06
#> [136,] 9.999977e-01 2.320612e-06
#> [137,] 9.999960e-01 4.009239e-06
#> [138,] 9.999895e-01 1.050846e-05
#> [139,] 9.939988e-01 6.001215e-03
#> [140,] 9.999997e-01 3.488446e-07
#> [141,] 0.000000e+00 1.000000e+00
#> [142,] 4.456497e-112 1.000000e+00
#> [143,] 1.452846e-05 9.999855e-01
#> [144,] 9.999995e-01 4.861699e-07
#> [145,] 1.823104e-13 1.000000e+00
#> [146,] 2.383393e-192 1.000000e+00
#> [147,] 0.000000e+00 1.000000e+00
#> [148,] 2.520576e-17 1.000000e+00
#> [149,] 5.474023e-20 1.000000e+00
#> [150,] 9.999989e-01 1.131403e-06
#> [151,] 1.094377e-01 8.905623e-01
#> [152,] 3.177060e-19 1.000000e+00
#> [153,] 6.792283e-188 1.000000e+00
#> [154,] 1.130702e-21 1.000000e+00
#> [155,] 1.012619e-20 1.000000e+00
#> [156,] 9.999996e-01 4.067358e-07
#> [157,] 2.871688e-48 1.000000e+00
#> [158,] 1.465373e-16 1.000000e+00
#> [159,] 2.098074e-41 1.000000e+00
#> [160,] 1.048926e-09 1.000000e+00
#> [161,] 1.124825e-12 1.000000e+00
#> [162,] 5.894322e-229 1.000000e+00
#> [163,] 7.379204e-231 1.000000e+00
#> [164,] 3.325226e-169 1.000000e+00
#> [165,] 1.652704e-02 9.834730e-01
#> [166,] 9.921340e-01 7.866011e-03
#> [167,] 1.046633e-128 1.000000e+00
#> [168,] 9.998830e-01 1.169982e-04
#> [169,] 2.376901e-02 9.762310e-01
#> [170,] 1.103372e-15 1.000000e+00
#> [171,] 1.817691e-188 1.000000e+00
#> [172,] 9.999803e-01 1.965460e-05
#> [173,] 9.999995e-01 4.802994e-07
#> [174,] 9.998318e-01 1.681692e-04
#> [175,] 5.032316e-04 9.994968e-01
#> [176,] 9.723973e-01 2.760271e-02
#> [177,] 2.813579e-12 1.000000e+00
#> [178,] 9.999966e-01 3.403330e-06
#> [179,] 9.999966e-01 3.409591e-06
#> [180,] 4.993424e-33 1.000000e+00
#> [181,] 9.999993e-01 6.628778e-07
#> [182,] 1.879807e-22 1.000000e+00
#> [183,] 9.999994e-01 6.387959e-07
#> [184,] 1.851385e-270 1.000000e+00
#> [185,] 3.052414e-30 1.000000e+00
#> [186,] 9.999998e-01 2.401954e-07
#> [187,] 1.594909e-01 8.405091e-01
#> [188,] 9.999650e-01 3.502280e-05
#> [189,] 9.999766e-01 2.343671e-05
#> [190,] 9.998284e-01 1.715763e-04
#> [191,] 6.144251e-72 1.000000e+00
#> [192,] 4.117475e-21 1.000000e+00
#> [193,] 2.038893e-88 1.000000e+00
#> [194,] 2.839639e-02 9.716036e-01
#> [195,] 5.425980e-07 9.999995e-01
#> [196,] 8.793906e-01 1.206094e-01
#> [197,] 3.623481e-112 1.000000e+00
#> [198,] 8.141048e-01 1.858952e-01
#> [199,] 4.534276e-01 5.465724e-01
#> [200,] 7.200616e-70 1.000000e+00
#> [201,] 4.961897e-205 1.000000e+00
#> [202,] 9.164814e-02 9.083519e-01
#> [203,] 4.370552e-36 1.000000e+00
#> [204,] 1.735955e-19 1.000000e+00
#> [205,] 4.654493e-14 1.000000e+00
#> [206,] 9.999585e-01 4.145617e-05
#> [207,] 9.534958e-01 4.650417e-02
#> [208,] 6.608017e-46 1.000000e+00
#> [209,] 3.800081e-37 1.000000e+00
#> [210,] 9.999996e-01 3.763337e-07
#> [211,] 9.999987e-01 1.292960e-06
#> [212,] 9.999998e-01 2.034066e-07
#> [213,] 9.999997e-01 2.553808e-07
#> [214,] 6.498234e-01 3.501766e-01
#> [215,] 9.999993e-01 7.461751e-07
#> [216,] 9.999986e-01 1.392284e-06
#> [217,] 9.999824e-01 1.755709e-05
#> [218,] 5.319583e-17 1.000000e+00
#> [219,] 9.999956e-01 4.423405e-06
#> [220,] 9.999985e-01 1.539800e-06
#> [221,] 5.613091e-15 1.000000e+00
#> [222,] 9.999944e-01 5.635039e-06
#> [223,] 1.378947e-36 1.000000e+00
#> [224,] 9.999989e-01 1.131403e-06
#> [225,] 9.999991e-01 9.294532e-07
#> [226,] 1.050412e-42 1.000000e+00
#> [227,] 8.795815e-57 1.000000e+00
#> [228,] 0.000000e+00 1.000000e+00
#> [229,] 1.229426e-83 1.000000e+00
#> [230,] 9.999698e-01 3.023805e-05
#> [231,] 9.901205e-01 9.879544e-03
#> [232,] 4.351434e-225 1.000000e+00
#> [233,] 3.575210e-01 6.424790e-01
#> [234,] 3.081265e-01 6.918735e-01
#> [235,] 9.999990e-01 9.545993e-07
#> [236,] 7.733250e-110 1.000000e+00
#> [237,] 1.351017e-34 1.000000e+00
#> [238,] 6.634192e-21 1.000000e+00
#> [239,] 2.429788e-65 1.000000e+00
#> [240,] 1.641803e-34 1.000000e+00
#> [241,] 9.999949e-01 5.116824e-06
#> [242,] 9.999992e-01 7.525238e-07
#> [243,] 1.150090e-191 1.000000e+00
#> [244,] 9.999993e-01 6.653192e-07
#> [245,] 9.999996e-01 3.888702e-07
#> [246,] 7.490723e-04 9.992509e-01
#> [247,] 7.739190e-01 2.260810e-01
#> [248,] 9.999996e-01 3.912395e-07
#> [249,] 5.034880e-53 1.000000e+00
#> [250,] 9.703816e-18 1.000000e+00
#> [251,] 1.918644e-15 1.000000e+00
#> [252,] 9.999994e-01 5.846579e-07
#> [253,] 9.901673e-01 9.832738e-03
#> [254,] 1.535743e-238 1.000000e+00
#> [255,] 0.000000e+00 1.000000e+00
#> [256,] 7.123003e-43 1.000000e+00
#> [257,] 0.000000e+00 1.000000e+00
#> [258,] 3.376486e-141 1.000000e+00
#> [259,] 3.470027e-230 1.000000e+00
#> [260,] 9.999931e-01 6.934372e-06
#> [261,] 9.999267e-01 7.328794e-05
#> [262,] 9.999996e-01 4.169728e-07
#> [263,] 4.778681e-128 1.000000e+00
#> [264,] 9.999993e-01 6.600757e-07
#> [265,] 3.492697e-22 1.000000e+00
#> [266,] 6.262177e-249 1.000000e+00
#> [267,] 9.999996e-01 4.152101e-07
#> [268,] 8.927925e-01 1.072075e-01
#> [269,] 4.038475e-06 9.999960e-01
#> [270,] 9.988089e-01 1.191073e-03
#> [271,] 1.653614e-19 1.000000e+00
#> [272,] 9.999345e-01 6.546715e-05
#> [273,] 9.999994e-01 6.477933e-07
#> [274,] 9.999997e-01 2.888541e-07
#> [275,] 9.528711e-26 1.000000e+00
#> [276,] 9.999930e-01 6.959911e-06
#> [277,] 9.999691e-01 3.085076e-05
#> [278,] 9.999991e-01 8.547718e-07
#> [279,] 9.999980e-01 1.989203e-06
#> [280,] 2.704920e-69 1.000000e+00
#> [281,] 1.908431e-72 1.000000e+00
#> [282,] 9.999818e-01 1.818551e-05
#> [283,] 9.999996e-01 3.848814e-07
#> [284,] 9.891822e-01 1.081780e-02
#> [285,] 2.627078e-191 1.000000e+00
#> [286,] 3.237548e-154 1.000000e+00
#> [287,] 3.339167e-01 6.660833e-01
#> [288,] 3.931174e-53 1.000000e+00
#> [289,] 9.501229e-202 1.000000e+00
#> [290,] 9.274528e-13 1.000000e+00
#> [291,] 7.332006e-219 1.000000e+00
#> [292,] 9.999987e-01 1.333578e-06
#> [293,] 9.999998e-01 2.431313e-07
#> [294,] 9.999997e-01 3.355539e-07
#> [295,] 2.790668e-45 1.000000e+00
#> [296,] 9.999936e-01 6.385356e-06
#> [297,] 9.999996e-01 4.471062e-07
#> [298,] 9.999961e-01 3.946293e-06
#> [299,] 1.546867e-22 1.000000e+00
#> [300,] 2.484536e-08 1.000000e+00
#> [301,] 9.999806e-01 1.944210e-05
#> [302,] 9.975076e-01 2.492444e-03
#> [303,] 9.999998e-01 2.253719e-07
#> [304,] 9.999877e-01 1.228863e-05
#> [305,] 9.999992e-01 7.585017e-07
#> [306,] 9.999996e-01 4.308631e-07
#> [307,] 1.068946e-04 9.998931e-01
#> [308,] 9.999984e-01 1.587283e-06
#> [309,] 9.999997e-01 2.591229e-07
#> [310,] 9.999997e-01 3.452663e-07
#> [311,] 1.967542e-56 1.000000e+00
#> [312,] 9.999990e-01 1.021134e-06
#> [313,] 6.030069e-02 9.396993e-01
#> [314,] 6.435963e-01 3.564037e-01
#> [315,] 9.999993e-01 7.107821e-07
#> [316,] 4.385261e-37 1.000000e+00
#> [317,] 1.080958e-03 9.989190e-01
#> [318,] 3.740272e-15 1.000000e+00
#> [319,] 7.862151e-10 1.000000e+00
#> [320,] 3.162855e-108 1.000000e+00
#> [321,] 2.226503e-11 1.000000e+00
#> [322,] 3.219963e-11 1.000000e+00
#> [323,] 3.218286e-33 1.000000e+00
#> [324,] 9.999994e-01 6.284146e-07
#> [325,] 9.999992e-01 8.302619e-07
#> [326,] 1.154694e-07 9.999999e-01
#> [327,] 3.827041e-12 1.000000e+00
#> [328,] 5.928413e-07 9.999994e-01
#> [329,] 7.157810e-88 1.000000e+00
#> [330,] 9.999918e-01 8.153921e-06
#> [331,] 3.728427e-02 9.627157e-01
#> [332,] 5.133321e-20 1.000000e+00
#> [333,] 9.999997e-01 2.923847e-07
#> [334,] 9.999996e-01 3.977027e-07
#> [335,] 6.085719e-38 1.000000e+00
#> [336,] 9.999997e-01 2.591229e-07
#> [337,] 9.999992e-01 7.870964e-07
#> [338,] 1.216896e-28 1.000000e+00
#> [339,] 9.999992e-01 7.589265e-07
#> [340,] 9.999281e-01 7.192432e-05
#> [341,] 9.999996e-01 4.018244e-07
#> [342,] 9.999998e-01 2.431313e-07
#> [343,] 9.999950e-01 5.036489e-06
#> [344,] 9.999998e-01 2.416589e-07
#> [345,] 9.570950e-01 4.290497e-02
#> [346,] 9.999991e-01 9.430725e-07
#> [347,] 9.999888e-01 1.117907e-05
#> [348,] 2.647786e-294 1.000000e+00
#> [349,] 3.513304e-49 1.000000e+00
#> [350,] 8.317931e-151 1.000000e+00
#> [351,] 9.999955e-01 4.534736e-06
#> [352,] 1.302407e-13 1.000000e+00
#> [353,] 9.999884e-01 1.164322e-05
#> [354,] 4.625299e-27 1.000000e+00
#> [355,] 9.999985e-01 1.513928e-06
#> [356,] 9.999993e-01 6.862200e-07
#> [357,] 3.652052e-31 1.000000e+00
#> [358,] 9.999970e-01 2.992396e-06
#> [359,] 3.002567e-169 1.000000e+00
#> [360,] 9.999980e-01 1.961575e-06
#> [361,] 1.409079e-11 1.000000e+00
#> [362,] 3.151792e-23 1.000000e+00
#> [363,] 9.999998e-01 2.367267e-07
#> [364,] 9.999997e-01 2.906140e-07
#> [365,] 9.999994e-01 6.387959e-07
#> [366,] 9.999994e-01 6.295708e-07
#> [367,] 9.999992e-01 7.635505e-07
#> [368,] 5.133254e-12 1.000000e+00
#> [369,] 2.078853e-34 1.000000e+00
#> [370,] 7.514087e-32 1.000000e+00
#> [371,] 9.996432e-01 3.568100e-04
#> [372,] 7.836841e-225 1.000000e+00
#> [373,] 8.990424e-06 9.999910e-01
#> [374,] 9.999994e-01 5.716734e-07
#> [375,] 2.342781e-07 9.999998e-01
#> [376,] 9.999996e-01 3.865153e-07
#> [377,] 3.403920e-16 1.000000e+00
#> [378,] 9.999977e-01 2.323580e-06
#> [379,] 9.999998e-01 2.314693e-07
#> [380,] 9.999996e-01 3.825506e-07
#> [381,] 9.999994e-01 6.415077e-07
#> [382,] 9.999984e-01 1.627233e-06
#> [383,] 9.997543e-01 2.457073e-04
#> [384,] 9.999993e-01 7.344599e-07
#> [385,] 9.999994e-01 5.716734e-07
#> [386,] 9.999995e-01 4.823383e-07
#> [387,] 9.999998e-01 2.110749e-07
#> [388,] 9.999981e-01 1.940367e-06
#> [389,] 9.999997e-01 2.858912e-07
#> [390,] 9.999902e-01 9.805722e-06
#> [391,] 0.000000e+00 1.000000e+00
#> [392,] 8.143379e-227 1.000000e+00
#> [393,] 4.736111e-220 1.000000e+00
#> [394,] 1.834803e-59 1.000000e+00
#> [395,] 2.239006e-14 1.000000e+00
#> [396,] 9.998641e-01 1.359110e-04
#> [397,] 1.622391e-226 1.000000e+00
#> [398,] 9.999990e-01 9.822296e-07
#> [399,] 9.992334e-01 7.665683e-04
#> [400,] 9.999985e-01 1.505603e-06
#> [401,] 9.999990e-01 1.036096e-06
#> [402,] 9.999995e-01 4.581027e-07
#> [403,] 9.999186e-01 8.139638e-05
#> [404,] 1.988117e-17 1.000000e+00
#> [405,] 8.663266e-01 1.336734e-01
#>
#> $all.loglik
#> [1] -14414.91 -13618.09 -13472.09 -13389.24 -13333.71 -13265.69 -13193.54
#> [8] -13151.78 -13135.45 -13126.99 -13122.92 -13120.98 -13120.01 -13119.49
#> [15] -13119.20 -13119.04 -13118.95 -13118.89 -13118.86 -13118.84 -13118.82
#> [22] -13118.82 -13118.81 -13118.81 -13118.81 -13118.81 -13118.80
#>
#> $restarts
#> [1] 0
#>
#> $ft
#> [1] "repnormmixEM"
#>
#> attr(,"class")
#> [1] "mixEM"