projpred-package | Projection predictive feature selection |
as.matrix.projection | Extract projected parameter draws |
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_ids | Create cross-validation folds |
cv_varsel | Variable selection with cross-validation |
cv_varsel.default | Variable selection with cross-validation |
cv_varsel.refmodel | Variable selection with cross-validation |
df_binom | Binomial toy example |
df_gaussian | Gaussian toy example |
extend_family | Extend a family |
extra-families | Extra family objects |
get_refmodel | Reference model structure |
get_refmodel.default | Reference model structure |
get_refmodel.refmodel | Reference model structure |
get_refmodel.stanreg | Reference model structure |
get_refmodel.vsel | Reference model structure |
init_refmodel | Reference model structure |
mesquite | Mesquite data set |
plot.vsel | Plot summary statistics of a variable selection |
pred-projection | Predictions from a submodel (after projection) |
predict.refmodel | Predictions or log predictive densities from a reference model |
print.vsel | Print results (summary) of variable selection |
print.vselsummary | Print summary of variable selection |
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) |
refmodel-init-get | Reference model structure |
solution_terms | Retrieve predictor solution path or predictor combination |
solution_terms.projection | Retrieve predictor solution path or predictor combination |
solution_terms.vsel | Retrieve predictor solution path or predictor combination |
Student_t | Extra family objects |
suggest_size | Suggest submodel size |
suggest_size.vsel | Suggest submodel size |
summary.vsel | Summary statistics of a variable selection |
varsel | Variable selection (without cross-validation) |
varsel.default | Variable selection (without cross-validation) |
varsel.refmodel | Variable selection (without cross-validation) |