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-any)EMSaov_2.3.zip(r-4.6-any)EMSaov_2.3.zip(r-4.5-any)
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✨
DESCRIPTION
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.

1.36 score 1 stars 23 scripts 369 downloads 4 exports 30 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK101
source / vignettesOK146
linux-releaseOK119
macos-releaseOK115
macos-oldrelOK97
windows-develOK63
windows-releaseOK82
windows-oldrelOK51
wasm-releaseOK87

Exports:ApproxFEMSanovaEMSaovAppPooledANOVA

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable