Package: CIpostSelect 0.2.1

Boubacar DIALLO

CIpostSelect: Confidence Interval Post-Selection of Variable

Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.

Authors:Boubacar DIALLO [aut, cre]

CIpostSelect_0.2.1.tar.gz
CIpostSelect_0.2.1.tar.gz(r-4.5-noble)CIpostSelect_0.2.1.tar.gz(r-4.4-noble)
CIpostSelect_0.2.1.tgz(r-4.4-emscripten)CIpostSelect_0.2.1.tgz(r-4.3-emscripten)
CIpostSelect.pdf |CIpostSelect.html✨
CIpostSelect/json (API)

# Install 'CIpostSelect' in R:
install.packages('CIpostSelect', 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.

1.30 score 295 downloads 2 exports 39 dependencies

Last updated 1 months agofrom:8fe916c58c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linuxOKNov 22 2024

Exports:CIpslmps

Dependencies:clicodetoolscolorspacedoParallelfansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmlbenchmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbletictocutf8vctrsviridisLitewithr