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
RoxygenNote: 7.1.0
Depends: R (>= 3.1.0)
Imports: stats
Repository: https://huaiyuzhang.r-universe.dev
Date/Publication: 2023-06-09 04:44:35 UTC
RemoteUrl: https://github.com/huaiyuzhang/tcftt
RemoteRef: HEAD
RemoteSha: e12bfd9ed347fc2d8c61ae27ef565ba05d05ecec
NeedsCompilation: no
Packaged: 2026-10-09 08:53:47 UTC; root