Package: tcftt
Type: Package
Title: Two-Sample Tests for Skewed Data
Version: 0.1.0
Author: Huaiyu Zhang, Haiyan Wang
Maintainer: Huaiyu Zhang <huaiyuzhang1988@gmail.com>
Description: The classical two-sample t-test works well for the normally distributed data or 
    data with large sample size. The tcfu() and tt() tests implemented in this package provide 
    better type-I-error control with more accurate power when testing the equality of two-sample 
    means for skewed populations having unequal variances. These tests are especially useful 
    when the sample sizes are moderate. The tcfu() uses the Cornish-Fisher expansion to achieve 
    a better approximation to the true percentiles. The tt() provides transformations of the Welch's 
    t-statistic so that the sampling distribution become more symmetric. For more technical details, 
    please refer to Zhang (2019) <http://hdl.handle.net/2097/40235>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.1.0)
Imports: stats
NeedsCompilation: no
Packaged: 2020-07-16 17:53:42 UTC; huaiyu
Repository: CRAN
Date/Publication: 2020-07-23 14:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:45:06 UTC; unix
