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
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.
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
