API for projpred
Projection Predictive Feature Selection

Global functions
Student_t Source code
as.matrix.projection Source code
augmented_x Source code
bbweights Source code
bootstrap_stats Source code
calc_stats Source code
check_data Source code
cv_varsel Man page Source code
cvind Man page Source code
df_binom Man page
df_gaussian Man page
df_to_model_mat Source code
extract_vars Source code
get_full_summaries Source code
get_kfold Source code
get_p_clust Source code
get_proj_handle Source code
get_refdist Source code
get_standard_y Source code
get_sub_summaries Source code
get_submodels Source code
get_traindata Source code
glm_elnet Source code
glm_elnet_c Source code
glm_forward Source code
glm_forward_c Source code
glm_ridge Source code
glm_ridge_c Source code
has.dispersion Source code
init_refmodel Man page Source code
kfold_varsel Source code
kl_helpers Source code
lambda_grid Source code
log_sum_exp Source code
log_weighted_mean_exp Source code
loo_subsample Source code
loo_varsel Source code
nonaugmented_x Source code
onAttach Source code
pointwise_stats Source code
proj-pred Man page
proj_helper Source code
proj_linpred Man page Source code
proj_predict Man page Source code
project Man page Source code
project_gaussian Source code
project_nongaussian Source code
projpred Man page
projpred-package Man page
pseudo_data Source code
s_proj_list Source code
search_L1 Source code
search_forward Source code
search_forward1 Source code
select Source code
split_coef Source code
suggest_size Man page Source code
tabulate_stats Source code
unlist_proj Source code
validate_for_varsel Source code
validate_kfold Source code
varsel Man page Source code
varsel-statistics Man page
varsel_errors Source code
varsel_plot Man page Source code
varsel_stats Man page Source code
weighted_summary_means Source code
projpred documentation built on April 16, 2018, 5:05 p.m.