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 |