GOF Concordance Plots — gof_concordance

Concordance plots between population and individual predictions.

Usage

gof_concordance_plots(
  data,
  fit,
  dv_col,
  conc_col,
  ntime_col,
  trt_col = NULL,
  dv_label = bquote(Delta ~ "QTc (ms)"),
  legend_location = c("top", "bottom", "left", "right", "none"),
  style = list()
)

Arguments

data: A data frame containing C-QT analysis dataset
fit: An nlme::lme model object from model fitting
dv_col: An unquoted column name for dependent variable measurements
conc_col: An unquoted column name for drug concentration measurements
ntime_col: An unquoted column name for nominal time since dose
trt_col: An unquoted column name for treatment group"
dv_label: A string of dv label (default: bquote(Delta ~ 'QTc (ms)'))
legend_location: String for legend position (top, bottom, left, right)
style: A named list of arguments passed to style_plot()

Value

A 2-panel plot comparing population (PRED) and individual (IPRED) predictions vs observed values

Examples

data_proc <- preprocess(cqtkit_data_verapamil)
fit <- fit_prespecified_model(
  data_proc,
  deltaQTCF,
  ID,
  CONC,
  deltaQTCFBL,
  TRTG,
  TAFD,
  "REML",
  TRUE
)
gof_concordance_plots(data_proc, fit, deltaQTCF, CONC, NTLD, TRTG, legend_location = "top")