Package: PoSIAdjRSquared
Title: Post-Selection Inference for Adjusted R Squared
Version: 0.1.0
Authors@R: c(person("Sarah", "Pirenne", email = "sarah.pirenne@kuleuven.be", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-1787-2035")),
    person("Gerda", "Claeskens", email="gerda.claeskens@kuleuven.be", role="aut"))
Maintainer: Sarah Pirenne <sarah.pirenne@kuleuven.be>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: lmf, stats, utils, VGAM
NeedsCompilation: no
Packaged: 2026-10-15 10:10:34 UTC; root
Author: Sarah Pirenne [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1787-2035>), Gerda Claeskens [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-07-04 14:50:02 UTC
RemoteUrl: https://github.com/cran/PoSIAdjRSquared
RemoteRef: HEAD
RemoteSha: 4a3c086e05e1202a0814a54007abc173e68d38d7