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NPC

Nonparametric Combination of Hypothesis Tests for R

Author: Devin Caughey, devin.caughey@gmail.com

NPC is a package for performing nonparametric combination (Pesarin and Salmaso 2010), a permutation-based procedure for jointly testing multiple hypotheses. The tests are conducted under the global "sharp" null hypothesis of no effects, and the component tests are combined on the metric of their p-values. A key feature of nonparametric combination is that it accounts for the dependence among tests under the null hypothesis. In addition to the "NPC" function, which performs nonparametric combination itself, the package also contains a number of helper functions, many of which calculate a test statistic given an imput of data.

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Version

Install

install.packages('NPC')

Monthly Downloads

26

Version

1.1.0

License

GPL-3

Maintainer

Devin Caughey

Last Published

March 28th, 2016

Functions in NPC (1.1.0)

HarmonicWtdMean

Block-Specific Mean Differences Weighted by Harmonic Mean Sample Size
NormalCF

Liptak's Normal Combining Function
HoggAdapt

Adaptive Choice of Rank-Based Test Statistic
KS

Kolmogorov-Smirnov Test Statistic
DiffMeans

Differences of Means Test Statistic
ProductCF

Fisher's Product Combining Function
DiffSumWithNA

Sum Test Statistic for MCAR Data
DiffSumObs

Difference in the Number of Non-Missing Responses
MinimumCF

Tippett's Minimum Combining Function
LogRank

Log-Rank Test Statistic
StudentsT

Student's T Statistic
StudentWilcoxon

Studentized Wilcoxon Rank-Sum Statistic
RankSumWithNA

Rank-Sum Test Statistic for MCAR Data
RankSum

Wilcoxon's Rank-Sum Statistic