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 |
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 |
fixedControl | Control options for fixed-value likelihood profiling |
foldgen | Stratified cross-validation fold generator function, inspired from the caret |
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 |
llpControl | Control options for log-likelihood profiling |
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 |
profile.nlmixr2FitCore | Perform likelihood profiling on nlmixr2 focei fits |
profileFixed | Estimate the objective function values for a model while fixing defined parameter values |
profileFixedSingle | Estimate the objective function values for a model while fixing defined parameter values |
profileLlp | Profile confidence intervals with log-likelihood profiling |
profileNlmixr2FitCoreRet | Give the output data.frame for a single model for profile.nlmixr2FitCore |
regularmodel | Regular lasso model |
theoFitOde | Example single dose Theophylline ODE model |