Estimate.PK: Estimate.PK

In Michorlab/ACESO: A Cancer Evolution Simulation Optimizer

Description

Fit Pharmacokinetic (PK) data and estimate PK parameters. The use of other software like NONMEM or MONOLIX is encoraged for estimation of parameters from different individuals.

Usage

Estimate.PK(PK_data, x.name = "time", y.name = "CONC", model,
  initial_estimates, log.yaxis = FALSE, weighted = FALSE)

Arguments

PK_data	Data to fit (drug concentrations over time)
x.name	Column name of the independent variable (time) in the x axis. "time" by default.
y.name	Column name of the dependent variable (drug concentrations) in the y axis. "CONC" by default.
model	Structural PK model definition (mrgsolve model specification).
initial_estimates	list with the initial estimates for the PK parameters.
log.yaxis	logical to indicate if the values for the dependent variable should be log transformed. FALSE by default.
weighted	logical. If TRUE a weighted NLS method is applied.

Value

This function returns the final estimates for the PK paramters and the plot of the observation values and the prediction of the model

Examples

## Not run: 
data(PK_example)
head(PK.example.data)
#Read code from model repository: 1 compartment model with extravascular administration
cmt1_oral<- mread("PK_models/1cmt_oral")%>% Req(CP) 
#See parameter names in the model:
param(cmt1_oral)
#Estimate parameters:


## End(Not run)

Michorlab/ACESO documentation built on June 4, 2021, 4:57 p.m.