predict: Prediction function using 'fitTK' object

In rbioacc: Inference and Prediction of ToxicoKinetic (TK) Models

Prediction function using fitTK object

Description

Use when parameter are manually given by the user.

Usage

## S3 method for class 'fitTK'
predict(object, data, mcmc_size = NULL, fixed_init = TRUE, ...)

predict_stan(
  object,
  data,
  mcmc_size = NULL,
  fixed_init = TRUE,
  time_interp = NULL,
  iter = 1000,
  ...
)

predict_manual(
  param,
  data,
  time_accumulation = NULL,
  C0 = 0,
  G0 = NA,
  gmax = NA
)

Arguments

object	An object of stanfit
data	A data set with one column time and 1 to 4 exposure
mcmc_size	Size of mcmc chain if needed to be reduced
fixed_init	If TRUE fix the initial conditions of internal concentration. columns with name in expw, exps, expf and exppw
...	Additional arguments
time_interp	A vector with additional time point to interpolate. Time point of the original data set are conserved.
iter	Number of time steps
param	A dataframe with name of parameters kee, keg, ku1, ku2, ..., km1, km2, ... and kem1, kem2, ..., sigmaConc, sigmaCmet (if metabolites) and sigmaGrowth (if growth). The parameter kee is mandatory.
time_accumulation	the time of accumulation.
C0	Gives the initial conditions of internal concentration.
G0	initial condition of G0 (require if keg is provided)
gmax	gmax (require if keg is provided) columns with name in expw, exps, expf and exppw

Value

An object of class predictTK

An object of class predictTK

rbioacc documentation built on Sept. 21, 2023, 5:06 p.m.