Package: nparLD 2.2

Frank Konietschke

nparLD: Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Performs nonparametric analysis of longitudinal data in factorial experiments. Longitudinal data are those which are collected from the same subjects over time, and they frequently arise in biological sciences. Nonparametric methods do not require distributional assumptions, and are applicable to a variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust with respect to outliers and for small sample sizes.

Authors:Kimihiro Noguchi <[email protected]>, Mahbub Latif <[email protected]>, Karthinathan Thangavelu, Frank Konietschke <[email protected]>, Yulia R. Gel <[email protected]>, Edgar Brunner <[email protected]>

nparLD_2.2.tar.gz
nparLD_2.2.tar.gz(r-4.5-noble)nparLD_2.2.tar.gz(r-4.4-noble)
nparLD_2.2.tgz(r-4.4-emscripten)nparLD_2.2.tgz(r-4.3-emscripten)
nparLD.pdf |nparLD.html
nparLD/json (API)

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

Peer review:

Datasets:

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

10 exports 4 stars 5.94 score 1 dependencies 90 mentions 47 scripts 496 downloads

Last updated 2 years agofrom:d68a38b69a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-linuxOKAug 28 2024

Exports:f1.ld.f1f1.ld.f2f2.ld.f1ld.cild.f1ld.f2nparLDplot.nparLDprint.nparLDsummary.nparLD

Dependencies:MASS