Package: discnorm 0.2.1

Njål Foldnes

discnorm: Test for Discretized Normality in Ordinal Data

Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>. In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account, as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.

Authors:Njål Foldnes [aut, cre], Steffen Grønneberg [aut]

discnorm_0.2.1.tar.gz
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discnorm_0.2.1.tgz(r-4.4-emscripten)discnorm_0.2.1.tgz(r-4.3-emscripten)
discnorm.pdf |discnorm.html✨
discnorm/json (API)
NEWS

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

Peer review:

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

2.70 score 160 downloads 2 exports 30 dependencies

Last updated 3 years agofrom:a27fbe03d5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linuxOKDec 21 2024

Exports:bootTestcatLSadj

Dependencies:ADGofTestadmiscarulesCDMcolorspacecopulacubaturegenericsGoFKernelgslKernSmoothlatticelavaanMASSMatrixmnormtmvtnormnumDerivpbapplypbivnormpbvpcaPPpolycorpsplinequadprogRcppRcppArmadillosirtstabledistTAM

Discnorm: Detecting and adjusting for underlying non-normality in ordinal datasets

Njål Foldnes and Steffen Grønneberg

Rendered fromdiscnormvignette.Rmdusingknitr::rmarkdownon Dec 21 2024.

Last update: 2022-03-22
Started: 2020-05-20