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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 |
| 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 |
| Reference manual: | IncomPair.pdf |
| Package source: | IncomPair_0.1.0.tar.gz |
| Windows binaries: | r-devel: IncomPair_0.1.0.zip, r-release: IncomPair_0.1.0.zip, r-oldrel: IncomPair_0.1.0.zip |
| macOS binaries: | r-release (arm64): IncomPair_0.1.0.tgz, r-oldrel (arm64): IncomPair_0.1.0.tgz, r-release (x86_64): IncomPair_0.1.0.tgz, r-oldrel (x86_64): IncomPair_0.1.0.tgz |
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