Package: PoSIAdjRSquared 0.0.0.1

Sarah Pirenne

PoSIAdjRSquared: Post-Selection Inference for Adjusted R Squared

Conduct post-selection inference for regression coefficients in linear models after they have been selected by adjusted R squared. The p-values and confidence intervals are valid after model selection with the same data. This allows the user to use all data for both model selection and inference without losing control over the type I error rate. The provided tests are more powerful than data splitting, which bases inference on less data since it discards all information used for selection.

Authors:Sarah Pirenne [aut, cre], Gerda Claeskens [aut]

PoSIAdjRSquared_0.0.0.1.tar.gz
PoSIAdjRSquared_0.0.0.1.tar.gz(r-4.5-noble)PoSIAdjRSquared_0.0.0.1.tar.gz(r-4.4-noble)
PoSIAdjRSquared_0.0.0.1.tgz(r-4.4-emscripten)PoSIAdjRSquared_0.0.0.1.tgz(r-4.3-emscripten)
PoSIAdjRSquared.pdf |PoSIAdjRSquared.html
PoSIAdjRSquared/json (API)

# Install 'PoSIAdjRSquared' in R:
install.packages('PoSIAdjRSquared', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 124 downloads 14 exports 2 dependencies

Last updated 3 months agofrom:ead3c8e9e9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linuxOKOct 26 2024

Exports:compute_ci_with_specified_intervalconstruct_adj_r_squaredconstruct_selection_eventconstruct_test_statisticdatagen.normdatagen.norm.interceptequal_tailed_intervalffind_rootfit_all_subset_linear_modelsfit_specified_size_subset_linear_modelspivot_with_specified_intervalpostselp_value_specified_intervalsolve_selection_event

Dependencies:lmfVGAM

Readme and manuals

Help Manual

Help pageTopics
Compute post-selection confidence interval with specified intervalcompute_ci_with_specified_interval
Construct adjusted R squaredconstruct_adj_r_squared
Construct selection eventconstruct_selection_event
Construct test statisticconstruct_test_statistic
Data generation normaldatagen.norm
Data generation normal with interceptdatagen.norm.intercept
Equal tailed intervalequal_tailed_interval
ff
Find rootfind_root
Fit all subset linear modelsfit_all_subset_linear_models
Fit all linear models of a specified sizefit_specified_size_subset_linear_models
Pivot with specified intervalpivot_with_specified_interval
Post-selection p-value specified intervalpostselp_value_specified_interval
Solve selection eventsolve_selection_event