Package: NMsim 0.1.6

Philip Delff

NMsim: Seamless 'Nonmem' Simulation Platform

A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.

Authors:Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]

NMsim_0.1.6.tar.gz
NMsim_0.1.6.tar.gz(r-4.5-noble)NMsim_0.1.6.tar.gz(r-4.4-noble)
NMsim_0.1.6.tgz(r-4.4-emscripten)NMsim_0.1.6.tgz(r-4.3-emscripten)
NMsim.pdf |NMsim.html✨
NMsim/json (API)
NEWS

# Install 'NMsim' in R:
install.packages('NMsim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nmautoverse/nmsim/issues

Pkgdown site:https://nmautoverse.github.io

On CRAN:

Conda:

2.48 score 755 downloads 29 exports 10 dependencies

Last updated 1 months agofrom:068019b782. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linuxOKMar 07 2025
R-4.4-linuxOKMar 07 2025

Exports:addaddEVID2addResVarexpandCovsgenPhiFileinputArchiveDefaultis.NMsimModTabis.NMsimResNMcreateDosesNMexecNMreadSimNMsimNMsim_asisNMsim_defaultNMsim_EBENMsim_knownNMsim_NWPRINMsim_typicalNMsim_VarCovNMsimTestConfNMupdateSizesNMwriteInitsoverwritereadParsWidesampleParsSimparsimPopEtassummarizeCovsunNMsimModTabunNMsimRes

Dependencies:data.tablefstfstcoreMASSNMdataR.methodsS3R.ooR.utilsRcppxfun

Readme and manuals

Help Manual

Help pageTopics
Create function that adds text elements to vectoradd
Add simulation records to dosing recordsaddEVID2
Add residual variability based on parameter estimatesaddResVar
Create data set where each covariate is univariately variedexpandCovs
Generate a .phi file for further simulation with NonmemgenPhiFile
Default location of input archive fileinputArchiveDefault
Easily and flexibly generate dosing recordsNMcreateDoses
Execute Nonmem and archive input data with model filesNMexec
Read simulation results based on NMsim's track of model runsNMreadSim
Simulate from an estimated Nonmem modelNMsim
Simulation method that uses the provided control stream as isNMsim_asis
Transform an estimated Nonmem model into a simulation control streamNMsim_default
Use emperical Bayes estimates to simulate re-using ETAsNMsim_EBE
Simulate with parameter variability using the NONMEM NWPRI subroutineNMsim_NWPRI
Typical subject simiulation methodNMsim_typical
Simulate with parameter values sampled from a covariance stepNMsim_VarCov
Summarize and test NMsim configurationNMsimTestConf
Create or update $SIZES in a control streamNMupdateSizes
Writes a parameter values to a control streamNMwriteInits
Create function that modifies text elements in a vectoroverwrite
Parameter data from csvreadParsWide
Sample model parameters using the `simpar` packagesampleParsSimpar
Generate a population based on a Nonmem modelsimPopEtas
Summarize simulated exposures relative to reference subjectsummarizeCovs
Remove NMsimModTab class and discard NMsimModTab meta datacbind.NMsimModTab dimnames.NMsimModTab is.NMsimModTab merge.NMsimModTab NMsimModTabOperations rbind.NMsimModTab t.NMsimModTab unNMsimModTab
Remove NMsimRes class and discard NMsimRes meta datacbind.NMsimRes dimnames.NMsimRes is.NMsimRes merge.NMsimRes NMsimResOperations rbind.NMsimRes t.NMsimRes unNMsimRes