gof_vpc_plot

Description

Performs a visual predictive check and plots the results

Usage

gof_vpc_plot(
  data,
  fit,
  xdata_col,
  dv_col,
  conf_int = 0.9,
  nruns = 500,
  nbins = 10,
  type = 2,
  style = list(
)
)

Arguments

Name	Description
`data`	a dataframe containing the QTc data
`fit`	the model fit object
`xdata_col`	an unquoted column name for independent variable
`dv_col`	an unquoted column name for dependent variable
`conf_int`	a fractional numeric for confidence interval (quantiles of 5/95th quantiles), default = 0.9
`nruns`	integer number of simulations to run
`nbins`	integer number of bins to break independent variable into - OR - a user specified vector for non-uniform binning
`type`	integer for type parameter of stats::quantile
`style`	a named list of any argument that can be passed to style_plot

Returns

a plot of the VPC results

Examples

data_proc <- preprocess(data)
 fit <- fit_prespecified_model(
   data_proc,
   deltaQTCF,
   ID,
   CONC,
   deltaQTCFBL,
   TRTG,
   TAFD,
   "REML",
   TRUE
 )

 gof_vpc_plot(data_proc, fit, CONC, deltaQTCF, nruns = 2)