Package: MVET 0.1.0

Yeonseok Choi

MVET: Multivariate Estimates and Tests

Multivariate estimation and testing, currently a package for testing parametric data. To deal with parametric data, various multivariate normality tests and outlier detection are performed and visualized using the 'ggplot2' package. Homogeneity tests for covariance matrices are also possible, as well as the Hotelling's T-square test and the multivariate analysis of variance test. We are exploring additional tests and visualization techniques, such as profile analysis and randomized complete block design, to be made available in the future and making them easily accessible to users.

Authors:Yeonseok Choi [aut, cre], Yong-Seok Choi [ctb]

MVET_0.1.0.tar.gz
MVET_0.1.0.zip(r-4.7-any)MVET_0.1.0.zip(r-4.6-any)MVET_0.1.0.zip(r-4.5-any)
MVET_0.1.0.tgz(r-4.6-any)MVET_0.1.0.tgz(r-4.5-any)
MVET_0.1.0.tar.gz(r-4.7-any)MVET_0.1.0.tar.gz(r-4.6-any)
MVET_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MVET/json (API)

# Install 'MVET' in R:
install.packages('MVET', repos = c('https://yeonseok-choi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yeonseok-choi/mvet/issues

Datasets:

On CRAN:

Conda:

2.70 score 359 downloads 7 exports 18 dependencies

Last updated from:d3375f8386. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK140
linux-releaseOK115
macos-releaseOK191
macos-oldrelOK178
windows-develOK95
windows-releaseOK81
windows-oldrelOK80
wasm-releaseOK79

Exports:boxMtestHT2testmardiatestoutlierPPCCtestSPCCtestVManova

Dependencies:clicpp11farverggplot2gluegridExtragtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr