Package: nparcomp 3.0

nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

With this package, it is possible to compute nonparametric simultaneous confidence intervals for relative contrast effects in the unbalanced one way layout. Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite Approximation of the degree of freedom or using multivariate range preserving transformations with Logit or Probit as transformation function. 2 sample comparisons can be performed with the same methods described above. There is no assumption on the underlying distribution function, only that the data have to be at least ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09> for details.

Authors:Frank Konietschke [aut, cre], Kimihiro Noguchi [ctr], Kerstin Rubarth

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nparcomp.pdf |nparcomp.html
nparcomp/json (API)

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

Peer review:

Datasets:
  • PGI - Patient Rated Global Impression (PGI) Scores
  • appetite - Appetite scores of colorectal cancer patients
  • colu - Numbers of corpora lutea
  • impla - Numbers of implantations
  • liver - Relative liver weights
  • panic - Clinical Global Impression (CGI) Scores
  • reaction - Reaction times of mice [sec]

On CRAN:

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

7 exports 2 stars 4.50 score 10 dependencies 1 dependents 42 mentions 85 scripts 552 downloads

Last updated 5 years agofrom:8011ccfc1f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:gaogao_csmctpmctp.rmnpar.t.testnpar.t.test.pairednparcomp

Dependencies:codetoolslatticeMASSMatrixmultcompmvtnormsandwichsurvivalTH.datazoo