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IncomPair
View on CRAN: Click
here
Download and install IncomPair package within the R console
Install from CRAN:
install.packages("IncomPair")
Install from Github:
library("remotes")
install_github("cran/IncomPair") Install by package version:
library("remotes")
install_version("IncomPair", "0.1.0") Attach the package and use:
library("IncomPair")
Maintained by
Desale Habtzghi
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All associated links for this package
First Published: 2020-03-05
Latest Update: 2020-03-05
Description:
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) "Testing equality of means in the presence of correlation and missing data".
Dubnicka, S. R., Blair, R. C., and Hettmansperger, T. P. (2002) "Rank-based procedures for mixed paired and two-sample designs".
Einsporn, R. L. and Habtzghi, D. (2013) "Combining paired and two-sample data using a permutation test".
Ekbohm, G. (1976) "On comparing means in the paired case with incomplete data on both responses".
Lin, P. E. and Stivers, L. E. (1974) On difference of means with incomplete data".
Maritz, J. S. (1995) "A permutation paired test allowing for missing values".
How to cite:
Desale Habtzghi (2020). IncomPair: Comparison of Means for the Incomplete Paired Data. R package version 0.1.0, https://cran.r-project.org/web/packages/IncomPair. Accessed 25 Jun. 2026.
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Complete documentation for IncomPair
Functions, R codes and Examples using
the IncomPair R package
Some associated functions: DNA . IncomPair . parmb . permb . race . rankb .
Some associated R codes: DNA.R . IncomPair.R . parmb.R . permb.R . race.R . rankb.R . Full IncomPair package functions and examples
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