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,
  xlabel = "Concentration (
  ng/mL
)",
  ylabel = bquote(
  Delta ~ "QTc (
  ms
)"
),
  title = ""
)

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
`xlabel`	a string for x label of plot, default is ‘Concentration (ng/mL)‘
`ylabel`	a string for y label of plot, default is bquote(Delta ~ ‘QTc (ms)‘)
`title`	a string for plot title

Returns

a plot of the VPC results

Examples

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

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