Package: EMSaov 2.3
EMSaov: The Analysis of Variance with EMS
Provides the analysis of variance table including the expected mean squares (EMS) for various types of experimental design. When some variables are random effects or we use special experimental design such as nested design, repeated-measures design, or split-plot design, it is not easy to find the appropriate test, especially denominator for F-statistic which depends on EMS.
Authors:
EMSaov_2.3.tar.gz
EMSaov_2.3.zip(r-4.5)EMSaov_2.3.zip(r-4.4)EMSaov_2.3.zip(r-4.3)
EMSaov_2.3.tgz(r-4.4-any)EMSaov_2.3.tgz(r-4.3-any)
EMSaov_2.3.tar.gz(r-4.5-noble)EMSaov_2.3.tar.gz(r-4.4-noble)
EMSaov_2.3.tgz(r-4.4-emscripten)EMSaov_2.3.tgz(r-4.3-emscripten)
EMSaov.pdf |EMSaov.html✨
EMSaov/json (API)
| # Install 'EMSaov' in R: |
| install.packages('EMSaov', repos = c('https://ek-lee.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 7 years agofrom:13c27441f3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:ApproxFEMSanovaEMSaovAppPooledANOVA
Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable
