projpred-package |
Projection predictive feature selection |
as.matrix.projection |
Extract projected parameter draws and coerce to matrix |
as_draws.projection |
Extract projected parameter draws and coerce to 'draws_matrix' (see package 'posterior') |
as_draws_matrix.projection |
Extract projected parameter draws and coerce to 'draws_matrix' (see package 'posterior') |
augdat_ilink_binom |
Inverse-link function for augmented-data projection with binomial family |
augdat_link_binom |
Link function for augmented-data projection with binomial family |
break_up_matrix_term |
Break up matrix terms |
cl_agg |
Weighted averaging within clusters of parameter draws |
cv-indices |
Create cross-validation folds |
cvfolds |
Create cross-validation folds |
cv_folds |
Create cross-validation folds |
cv_ids |
Create cross-validation folds |
cv_proportions |
Ranking proportions from fold-wise predictor rankings |
cv_proportions.ranking |
Ranking proportions from fold-wise predictor rankings |
cv_proportions.vsel |
Ranking proportions from fold-wise predictor rankings |
cv_varsel |
Run search and performance evaluation with cross-validation |
cv_varsel.default |
Run search and performance evaluation with cross-validation |
cv_varsel.refmodel |
Run search and performance evaluation with cross-validation |
cv_varsel.vsel |
Run search and performance evaluation with cross-validation |
df_binom |
Binomial toy example |
df_gaussian |
Gaussian toy example |
extend_family |
Extend a family |
extra-families |
Extra family objects |
force_search_terms |
Force search terms |
get_refmodel |
Reference model and more general information |
get_refmodel.default |
Reference model and more general information |
get_refmodel.projection |
Reference model and more general information |
get_refmodel.refmodel |
Reference model and more general information |
get_refmodel.stanreg |
Reference model and more general information |
get_refmodel.vsel |
Reference model and more general information |
init_refmodel |
Reference model and more general information |
mesquite |
Mesquite data set |
performances |
Predictive performance results |
performances.vsel |
Predictive performance results |
performances.vselsummary |
Predictive performance results |
plot.cv_proportions |
Plot ranking proportions from fold-wise predictor rankings |
plot.ranking |
Plot ranking proportions from fold-wise predictor rankings |
plot.vsel |
Plot predictive performance |
pred-projection |
Predictions from a submodel (after projection) |
predict.refmodel |
Predictions or log posterior predictive densities from a reference model |
predictor_terms |
Predictor terms used in a 'project()' run |
predictor_terms.projection |
Predictor terms used in a 'project()' run |
print.projection |
Print information about 'project()' output |
print.refmodel |
Print information about a reference model object |
print.vsel |
Print results (summary) of a 'varsel()' or 'cv_varsel()' run |
print.vselsummary |
Print summary of a 'varsel()' or 'cv_varsel()' run |
project |
Projection onto submodel(s) |
projpred |
Projection predictive feature selection |
proj_linpred |
Predictions from a submodel (after projection) |
proj_predict |
Predictions from a submodel (after projection) |
ranking |
Predictor ranking(s) |
ranking.vsel |
Predictor ranking(s) |
refmodel-init-get |
Reference model and more general information |
run_cvfun |
Create 'cvfits' from 'cvfun' |
run_cvfun.default |
Create 'cvfits' from 'cvfun' |
run_cvfun.refmodel |
Create 'cvfits' from 'cvfun' |
solution_terms |
Retrieve the full-data solution path from a 'varsel()' or 'cv_varsel()' run or the predictor combination from a 'project()' run |
solution_terms.projection |
Retrieve the full-data solution path from a 'varsel()' or 'cv_varsel()' run or the predictor combination from a 'project()' run |
solution_terms.vsel |
Retrieve the full-data solution path from a 'varsel()' or 'cv_varsel()' run or the predictor combination from a 'project()' run |
Student_t |
Extra family objects |
suggest_size |
Suggest submodel size |
suggest_size.vsel |
Suggest submodel size |
summary.vsel |
Summary of a 'varsel()' or 'cv_varsel()' run |
varsel |
Run search and performance evaluation without cross-validation |
varsel.default |
Run search and performance evaluation without cross-validation |
varsel.refmodel |
Run search and performance evaluation without cross-validation |
varsel.vsel |
Run search and performance evaluation without cross-validation |
y_wobs_offs |
Extract response values, observation weights, and offsets |