Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions

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Documentation for package ‘nlmixr2extra’ version 2.0.10

• DESCRIPTION file.
• Package NEWS.

Help Pages

adaptivelassoCoefficients	Return Adaptive lasso coefficients after finding optimal t
addCatCovariates	Make dummy variable cols and updated covarsVec
addorremoveCovariate	Add covariate
adjustedlassoCoefficients	Return Adjusted adaptive lasso coefficients after finding optimal t
backwardSearch	Backward covariate search
bootplot	Produce delta objective function for boostrap
bootplot.nlmixr2FitCore	Produce delta objective function for boostrap
bootstrapFit	Bootstrap nlmixr2 fit
buildcovInfo	Build covInfo list from varsVec and covarsVec
buildupatedUI	Build updated from the covariate and variable vector list
covarSearchAuto	Stepwise Covariate Model-selection (SCM) method
foldgen	Stratified cross-validation fold generator function, inspired from the caret
forwardSearch	Forward covariate search
horseshoeSummardf	Create Horseshoe summary posterior estimates
knit_print.nlmixr2FitCore	Extract the equations from an nlmixr2/rxode2 model to produce a 'LaTeX' equation.
knit_print.rxUi	Extract the equations from an nlmixr2/rxode2 model to produce a 'LaTeX' equation.
lassoCoefficients	Return Final lasso coefficients after finding optimal t
lassoSummardf	Create Lasso summary posterior estimates
normalizedData	Function to return data of normalized covariates
optimUnisampling	Sample from uniform distribution by optim
preconditionFit	Linearly re-parameterize the model to be less sensitive to rounding errors
regularmodel	Regular lasso model
theoFitOde	Example single dose Theophylline ODE model