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.
- Version0.5.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Friedrich, S., Konietschke, F. and Pauly, M. (2019) doi:10.32614/RJ-2019-051
- Last release08/25/2023
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Team
Sarah Friedrich
Frank Konietschke
Show author detailsRolesAuthorMarkus Pauly
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- Imports8 packages
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