API for glmmLasso
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

Global functions
RcppEigenDiagSp Source code
RcppEigenInvMa Source code
RcppEigenProd1 Source code
RcppEigenProd2 Source code
RcppEigenProd3 Source code
RcppEigenSigmaInv Source code
RcppEigenSpChol Source code
acat Man page Source code
bdiag_m Source code
blockstand Source code
bs.design Source code
correct.cat Source code
cumulative Man page Source code
est.glmmLasso Source code
est.glmmLasso.RE Source code
est.glmmLasso.noRE Source code
glmmLasso Man page Source code
glmmLasso-package Man page
glmmLassoControl Man page Source code
glmm_final Source code
glmm_final_multi_random Source code
glmm_final_multi_random_smooth Source code
glmm_final_noRE Source code
glmm_final_smooth Source code
glmm_final_smooth_noRE Source code
gradient.lasso Source code
gradient.lasso.block Source code
knee Man page
likelihood Source code
likelihood_block Source code
likelihood_diag Source code
likelihood_nlminb Source code
logLikeli.glmmLasso Source code
plot.glmmLasso Source code
predict.glmmLasso Source code
print.glmmLasso Source code
print.summary.glmmLasso Source code
soccer Man page
summary.glmmLasso Source code
t_change Source code
taylor.opt Source code
taylor.opt.noRE Source code
glmmLasso documentation built on Aug. 23, 2023, 5:06 p.m.