individual: This function can be used to obtain individual prediction and...

In ggPMX: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models

This function can be used to obtain individual prediction and compare with observed data and population prediction for each individual separately

Description

This function can be used to obtain individual prediction and compare with observed data and population prediction for each individual separately

Usage

individual(
  labels,
  facets = NULL,
  dname = NULL,
  ipred_line = NULL,
  pred_line = NULL,
  point = NULL,
  bloq = NULL,
  is.legend,
  use.finegrid,
  ...
)

Arguments

labels	plot texts. labels, axis,
facets	list facets settings nrow/ncol
dname	name of dataset to be used
ipred_line	list some pred line geom properties aesthetics
pred_line	list some ipred line geom properties aesthetics
point	list some point geom properties aesthetics
bloq	pmxBLOQ object created by pmx_bloq
is.legend	logical if TRUE add a legend
use.finegrid	logical if FALSE use predictions data set
...	others graphics arguments passed to pmx_gpar internal object.

Value

individual fit object

See Also

plot_pmx.individual

Other plot_pmx: distrib(), eta_cov(), eta_pairs(), plot_pmx(), plot_pmx.distrib(), plot_pmx.eta_cov(), plot_pmx.eta_pairs(), plot_pmx.individual(), plot_pmx.pmx_dens(), plot_pmx.pmx_gpar(), plot_pmx.pmx_param_history(), plot_pmx.pmx_qq(), plot_pmx.residual()

ggPMX documentation built on Sept. 9, 2025, 5:40 p.m.