plot.pkmod: Plot object with class 'pkmod'

Description

Will show predicted concentrations in compartments associated with an infusion schedule.

User can provide a series of effect-site concentrations and a PD model or an infusion schedule with a PK-PD model.

Plot output returned by "bayes_control" function.

Usage

# S3 method for pkmod
plot(
  x,
  ...,
  inf,
  npts = 1000,
  title = NULL,
  xlab = "Time",
  ylab = "Concentration"
)
# S3 method for pdmod
plot(
  x,
  ...,
  pkmod,
  inf,
  pars_pd,
  pars_pk = NULL,
  npts = 1000,
  plot_pk = TRUE,
  title = NULL,
  ecmpt = NULL,
  xlab = "Time",
  ylab_con = "Concentration",
  ylab_resp = "Response"
)
# S3 method for tciinf
plot(
  x,
  ...,
  title = NULL,
  display = TRUE,
  xlab = "Time",
  ylab_con = "Concentration",
  ylab_resp = "Response"
)
# S3 method for datasim
plot(
  x,
  ...,
  pars_prior = NULL,
  pars_post = NULL,
  pk_ix = NULL,
  pd_ix = NULL,
  xlab = "Time",
  ylab_con = "Concentration",
  ylab_resp = "Response"
)
# S3 method for bayessim
plot(x, ..., xlab = "Time", ylab_con = "Concentration", ylab_resp = "Response")

Value

ggplot object displaying predicted concentrations for a pkmod object.

ggplot object arranged with gridExtra::grid.arrange displaying predicted response for a pdmod object.

gtable object using gridExtra::arrangeGrob

ggplot object displaying simulated data

ggplot object displaying simulated data.

Arguments

x: Object returned from "bayes_control" function
...: ...
inf: An infusion schedule object with columns "begin","end","infrt".
npts: Number of points used to evaluate predicted concentrations.
title: Title of plot.
xlab: x-axis label
ylab: y-axis label
pkmod: PK model
pars_pd: Parameters used by pdmod.
pars_pk: Parameters used by pkmod.
plot_pk: Logical. Should PK concentrations be plotted alongside the PD response. Defaults to TRUE.
ecmpt: Effect-site compartment number. Defaults to the last compartment concentration returned by pkmod.
ylab_con: y-axis label for concentration-time plot
ylab_resp: y-axis label for response-time plot
display: Logical. Should plots be printed or returned as an arrangeGrob object?
pars_prior: Named vector of prior PK or PK-PD parameters
pars_post: Named vector of posterior PK or PK-PD parameters
pk_ix: Indicies of parameter vector(s) corresponding to PK parameters
pd_ix: Indicies of parameter vector(s) corresponding to PD parameters