as.matrix.projection    Extract projected parameter draws and coerce to
                        matrix
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
cv_proportions          Ranking proportions from fold-wise predictor
                        rankings
cv_varsel               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
mesquite                Mesquite data set
performances            Predictive performance results
plot.cv_proportions     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
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-package        Projection predictive feature selection
ranking                 Predictor ranking(s)
refmodel-init-get       Reference model and more general information
run_cvfun               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
suggest_size            Suggest submodel size
summary.vsel            Summary of a 'varsel()' or 'cv_varsel()' run
varsel                  Run search and performance evaluation without
                        cross-validation
y_wobs_offs             Extract response values, observation weights,
                        and offsets
