Man pages for projpred
Projection Predictive Feature Selection
| as_draws_matrix.projection | Extract projected parameter draws and coerce to... |
| as.matrix.projection | Extract projected parameter draws and coerce to matrix |
| augdat_ilink_binom | Inverse-link function for augmented-data projection with... |
| augdat-internals | Augmented-data projection: Internals |
| augdat_link_binom | Link function for augmented-data projection with binomial... |
| 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 |
| do_call | Execute a function call |
| 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 |
| predictor_terms | Predictor terms used in a 'project()' run |
| predict.refmodel | Predictions or log posterior predictive densities from a... |
| pred-projection | Predictions from a submodel (after projection) |
| 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... |
| suggest_size | Suggest submodel size |
| summary.vsel | Summary of a 'varsel()' or 'cv_varsel()' run |
| varsel | Run search and performance evaluation without... |
| y_wobs_offs | Extract response values, observation weights, and offsets |
