Package: robusttseq 0.1.0
Nair Gonzalez Sotomayor
robusttseq: Robust Statistical Methods with Huber Estimators
Provides robust statistical methods for analyzing numeric data, including robust estimation of location and scale using Huber M-estimators and a robust two-sample t-test. Methods are based on Huber (1981, ISBN:0471418056) "Robust Statistics" and Smyth (2004) <doi:10.2202/1544-6115.1027>.
Authors:
robusttseq_0.1.0.tar.gz
robusttseq_0.1.0.tar.gz(r-4.7-any)robusttseq_0.1.0.tar.gz(r-4.6-any)
robusttseq_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
robusttseq/json (API)
| # Install 'robusttseq' in R: |
| install.packages('robusttseq', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5b10623019. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 84 | ||
| source / vignettes | OK | 134 | ||
| linux-release-x86_64 | OK | 106 | ||
| wasm-release | OK | 101 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Huber M-estimator for location and scale | huber_estimation |
| Robust Huber-Moderated t-Test for Gene Expression | robust_huber_moderated |
| Two-Sample Robust t-Test (Huber) | robust_t_test |
