Package: CIPerm 0.2.3.9000

Jerzy Wieczorek

CIPerm: Computationally-Efficient Confidence Intervals for Mean Shift from Permutation Methods

Implements computationally-efficient construction of confidence intervals from permutation or randomization tests for simple differences in means, based on Nguyen (2009) <doi:10.15760/etd.7798>.

Authors:Emily Tupaj [aut], Jerzy Wieczorek [cre, aut], Minh Nguyen [ctb], Mara Tableman [ctb]

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CIPerm.pdf |CIPerm.html✨
CIPerm/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/colbystatsvyrsch/ciperm/issues

On CRAN:

4.00 score 1 stars 7 scripts 146 downloads 3 exports 1 dependencies

Last updated 2 years agofrom:d0c4019e7b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winOKOct 18 2024
R-4.5-linuxOKOct 18 2024
R-4.4-winOKOct 18 2024
R-4.4-macOKOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:cintdsetpval

Dependencies:matrixStats

Comparing CIPerm with 'naive' approach

Rendered fromnaive.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2022-06-21
Started: 2022-06-08

Replicating Nguyen (2009) with CIPerm

Rendered fromnguyen.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2022-06-21
Started: 2022-02-01