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:Eun-Kyung Lee, Hye-Min Choe

EMSaov_2.3.tar.gz
EMSaov_2.3.zip(r-4.7)EMSaov_2.3.zip(r-4.6)EMSaov_2.3.zip(r-4.5)
EMSaov_2.3.tgz(r-4.6-any)EMSaov_2.3.tgz(r-4.5-any)
EMSaov_2.3.tar.gz(r-4.7-any)EMSaov_2.3.tar.gz(r-4.6-any)
EMSaov_2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EMSaov/json (API)

# Install 'EMSaov' in R:
install.packages('EMSaov', repos = c('https://ek-lee.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • baseball - Nested factorial design of Measurement of velocity
  • film - Dry-film thickness
  • rubber - Split-split plot design of Curerate index

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.38 score 1 stars 24 scripts 874 downloads 4 exports 30 dependencies

Last updated from:13c27441f3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK170
linux-release-x86_64OK106
macos-release-arm64OK97
macos-oldrel-arm64OK121
windows-develOK74
windows-releaseOK98
windows-oldrelOK64
wasm-releaseOK108

Exports:ApproxFEMSanovaEMSaovAppPooledANOVA

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable