Visualization of Integrated Squared Error for a selected density from npEM output using plotly

This is an updated visualization function for ise.npEM. For more technical details, please refer to ise.npEM.

Usage

plotly_ise.npEM(npEMout, component=1, block=1, truepdf=dnorm, lower=-Inf,
                upper=Inf, plots = TRUE ,
                col = NULL , width = 3,
                title = NULL , title.size = 15 , title.x = 0.5 , title.y = 0.95,
                xlab = "t" , xlab.size = 15 , xtick.size = 15,
                ylab = "" , ylab.size = 15 , ytick.size = 15,
                legend.text = "" , legend.text.size = 15 , legend.size = 15, ...)

Arguments

npEMout: An object of class npEM such as the output of the npEM function
component, block: Component and block of particular density to analyze from npEMout.
truepdf: an R function taking a numeric first argument and returning a numeric vector of the same length. Returning a non-finite element will generate an error.
lower, upper: the limits of integration. Can be infinite.
plots: logical: Should plots be produced?
...: additional arguments to be passed to truepdf (and that may be mandatory like, e.g., the df = argument of dt). Remember to use argument names not matching those of ise.npRM.
col: Color of traces.
width: Line width of traces.
title: Text of the main title.
title.size: Size of the main title.
title.x: Horsizontal position of the main title.
title.y: Vertical posotion of the main title.
xlab: Label of X-axis.
xlab.size: Size of the lable of X-axis.
xtick.size: Size of tick lables of X-axis.
ylab: Label of Y-axis.
ylab.size: Size of the lable of Y-axis.
ytick.size: Size of tick lables of Y-axis.
legend.text: Title of legend.
legend.text.size: Size of the legend title.
legend.size: Size of legend.

Value

Just as for the integrate function, a list of class "integrate" with components

value: the final estimate of the integral.
abs.error: estimate of the modulus of the absolute error.
subdivisions: the number of subintervals produced in the subdivision process.
message: "OK" or a character string giving the error message.
call: the matched call.

Details

This function calls the wkde (weighted kernel density estimate) function.

References

Benaglia, T., Chauveau, D., and Hunter, D. R. (2009), An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures, Journal of Computational and Graphical Statistics, 18, 505-526.
Benaglia, T., Chauveau, D., Hunter, D. R., and Young, D. (2009), mixtools: An R package for analyzing finite mixture models. Journal of Statistical Software, 32(6):1-29.

Examples

if (FALSE) { # \dontrun{
data(Waterdata)
set.seed(100)
a <- npEM(Waterdata[,3:10], mu0=3, bw=4) # Assume indep but not iid
plotly_ise.npEM(a , plots = TRUE)
} # }

Visualization of Integrated Squared Error for a selected density from npEM output using `plotly`