rxCbindStudyIndividual: Bind the study parameters and individual parameters

In nlmixrdevelopment/RxODE: Facilities for Simulating from ODE-Based Models

Bind the study parameters and individual parameters

Description

Bind the study parameters and individual parameters

Usage

rxCbindStudyIndividual(studyParameters, individualParameters)

Arguments

studyParameters	These are the study parameters, often can be generated by sampling from a population. This can be either a matrix or a data frame
individualParameters	A data frame of individual parameters

Value

Data frame that can be used in RxODE simulations

Author(s)

Matthew Fidler

Examples

# Function for coverting coefficient of covariance into a variance
lognCv <- function(x){log((x/100)^2+1)}

set.seed(32)

nSub  <-  100
nStud  <-  10

#define theta
theta <- c(lka=log(0.5), # log ka
          lCl=log(5), # log Cl
          lV=log(300) # log V
          )

#define theta Matrix
thetaMat <- lotri(lCl ~ lognCv(5),
                 lV  ~ lognCv(5),
                 lka ~ lognCv(5))


nev <- nSub*nStud

ev1 <- data.frame(COV1=rnorm(nev,50,30),COV2=rnorm(nev,75,10),
                  COV3=sample(c(1.0,2.0),nev,replace=TRUE))


tmat <-rxRmvn(nStud, theta[dimnames(thetaMat)[[1]]], thetaMat)

rxCbindStudyIndividual(tmat, ev1)

nlmixrdevelopment/RxODE documentation built on April 10, 2022, 5:36 a.m.