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All functions

NMcreateDoses()
Easily and flexibly generate dosing records
NMexec()
Execute Nonmem and archive input data with model files
NMreadSim()
Read simulation results based on NMsim's track of model runs
NMsim()
Simulate from an estimated Nonmem model
unNMsimModTab() is.NMsimModTab() merge(<NMsimModTab>) t(<NMsimModTab>) dimnames(<NMsimModTab>) rbind(<NMsimModTab>) cbind(<NMsimModTab>)
Remove NMsimModTab class and discard NMsimModTab meta data
unNMsimRes() is.NMsimRes() merge(<NMsimRes>) t(<NMsimRes>) dimnames(<NMsimRes>) rbind(<NMsimRes>) cbind(<NMsimRes>)
Remove NMsimRes class and discard NMsimRes meta data
NMsimTestConf()
Summarize and test NMsim configuration
NMsim_EBE()
Use emperical Bayes estimates to simulate re-using ETAs
NMsim_NWPRI()
Simulate with parameter variability using the NONMEM NWPRI subroutine
NMsim_VarCov()
Simulate with parameter values sampled from a covariance step
NMsim_asis()
Simulation method that uses the provided control stream as is
NMsim_default()
Transform an estimated Nonmem model into a simulation control stream
NMsim_typical()
Typical subject simiulation method
NWPRI_df()
Add degrees of freedom by OMEGA/SIGMA block
add()
Create function that adds text elements to vector
addEVID2()
Add simulation records to dosing records
addResVar()
Add residual variability based on parameter estimates
expandCovs()
Create data set where each covariate is univariately varied
genPhiFile()
Generate a .phi file for further simulation with Nonmem
inputArchiveDefault()
Default location of input archive file
overwrite()
Create function that modifies text elements in a vector
readParsWide()
Parameter data from csv
sampleParsSimpar()
Sample model parameters using the `simpar` package
simPopEtas()
Generate a population based on a Nonmem model