Package: MANOVA.RM 0.5.4

Sarah Friedrich

MANOVA.RM: Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs

Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs. In addition to asymptotic inference methods, novel bootstrap and permutation approaches are implemented as well. These provide more accurate results in case of small to moderate sample sizes. Furthermore, post-hoc comparisons are provided for the multivariate analyses. Friedrich, S., Konietschke, F. and Pauly, M. (2019) <doi:10.32614/RJ-2019-051>.

Authors:Sarah Friedrich, Frank Konietschke, Markus Pauly

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NEWS

# Install 'MANOVA.RM' in R:
install.packages('MANOVA.RM', repos = c('https://smn74.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/smn74/manova.rm/issues

Datasets:
  • EEG - EEG Measurements in Patients with Alzheimer's Disease
  • EEGwide - EEG Measurements in Patients with Alzheimer's Disease
  • o2cons - Oxygen Consumption of Leukocytes

On CRAN:

multivariate-datapermutationrepeated-measuresresampling

4.59 score 11 stars 35 scripts 563 downloads 6 exports 17 dependencies

Last updated 1 years agofrom:5c5bc27968. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winNOTEOct 21 2024
R-4.5-linuxNOTEOct 21 2024
R-4.4-winNOTEOct 21 2024
R-4.4-macNOTEOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

Exports:conf.regMANOVAMANOVA.widemultRMRMsimCI

Dependencies:abindcodetoolsdata.tableellipselatticemagicMASSMatrixmultcompmvtnormplotrixplyrRcppsandwichsurvivalTH.datazoo

MANOVA.RM

Rendered fromIntroduction_to_MANOVA.RM.Rmdusingknitr::rmarkdownon Oct 21 2024.

Last update: 2023-08-24
Started: 2017-09-20