# Projection Predictive Feature Selection

## Documentation for package ‘projpred’ version 2.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

projpred-package | Projection predictive feature selection
as.matrix.projection | Extract projected parameter draws
break_up_matrix_term | Break up matrix terms
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)