Implements a variety of nonparametric and parametric methods that are commonly used when the data set is a mixture of paired observations and independent samples. The package also calculates and returns values of different tests with their corresponding p-values. Bhoj, D. S. (1991) <doi:10.1002/bimj.4710330108> "Testing equality of means in the presence of correlation and missing data". Dubnicka, S. R., Blair, R. C., and Hettmansperger, T. P. (2002) <doi:10.22237/jmasm/1020254460> "Rank-based procedures for mixed paired and two-sample designs". Einsporn, R. L. and Habtzghi, D. (2013) <https://pdfs.semanticscholar.org/89a3/90bafeb2bc41ed4414533cfd5ab84a6b54b6.pdf> "Combining paired and two-sample data using a permutation test". Ekbohm, G. (1976) <doi:10.1093/biomet/63.2.299> "On comparing means in the paired case with incomplete data on both responses". Lin, P. E. and Stivers, L. E. (1974) <doi:10.1093/biomet/61.2.325> On difference of means with incomplete data". Maritz, J. S. (1995) <doi:10.1111/j.1467-842x.1995.tb00649.x> "A permutation paired test allowing for missing values".
Version: 0.1.0 Depends: R (≥ 2.10) Imports: methods Suggests: testthat (≥ 2.1.0) Published: 2020-03-05 DOI: 10.32614/CRAN.package.IncomPair Author: Desale Habtzghi [aut, cre], Yilin Zhang [aut], Richard Einsporn [ctb] Maintainer: Desale Habtzghi <dhabtzgh at depaul.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no In views: MissingData CRAN checks: IncomPair results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=IncomPair to link to this page.
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