Brief overview of Nguyen (2009)'s method | We don't have to recompute the permutation distribution for each $\Delta$ | We don't have to try every possible $\Delta$ | Recovery times example | Wing lengths and antennae lengths example | Wing and antennae lengths with Monte Carlo
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:
CIPerm_0.2.3.9000.tar.gz
CIPerm_0.2.3.9000.zip(r-4.7)CIPerm_0.2.3.9000.zip(r-4.6)CIPerm_0.2.3.9000.zip(r-4.5)
CIPerm_0.2.3.9000.tgz(r-4.6-any)CIPerm_0.2.3.9000.tgz(r-4.5-any)
CIPerm_0.2.3.9000.tar.gz(r-4.7-any)CIPerm_0.2.3.9000.tar.gz(r-4.6-any)
CIPerm_0.2.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CIPerm/json (API)
| # Install 'CIPerm' in R: |
| install.packages('CIPerm', repos = c('https://colbystatsvyrsch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/colbystatsvyrsch/ciperm/issues
Last updated from:d0c4019e7b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 161 | ||
| linux-release-x86_64 | OK | 109 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-oldrel-arm64 | OK | 110 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 98 |
Dependencies:matrixStats
Replicating Nguyen (2009) with CIPerm
Last update: 2022-06-21
Started: 2022-02-01
Comparing CIPerm with 'naive' approach
Defining streamlined functions | Speed tests | Tiny dataset | Larger dataset | Largest dataset | bench::mark() and profvis
Last update: 2022-06-21
Started: 2022-06-08
