DESCRIPTION

Package: ZIR
Type: Package
Title: Modified Wilcoxon Rank Test and Kruskal Wallis Test for Zero-Inflated Data
Version: 1.0.0
Date: 2015-10-06
Authors@R: c( 
    person("Wanjie", "Wang", email = "wanjie.w@gmail.com", role = c("aut", "cre")), 
    person("Eric", "Zhang Chen", email = "chvlyl@gmail.com",role = c("aut")) 
    )
Description: When the underlying distribution of data is unknown,usually we use 
  nonparametric test to test the difference between groups. For example, 
  Wilcoxon rank sum test (Mann-Whitney U test) is often used for two group 
  comparison, and Kruskal Wallis test is used for multiple group comparison. 
  However, sometimes the data may contain many zeroes and the traditional rank 
  based test, such as Wilcoxon rank sum test and Kruskal Wallis test have low 
  power due to the ties in the data. Here we developed a R package called ZIR 
  (Zero-Inflated Rank Test), which has more power than the traditional rank 
  based test when the data contain many zeroes, and have similar power as the 
  traditional rank based test when the data don't have too many zeros.
Imports:
    graphics,
    methods,
    stats,
    utils
Suggests:
    testthat,
    roxygen2,
    knitr
License: GPL-2
LazyData: true