Two-Sample Tests for Skewed Data R package tcftt version 0.1.0 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>. Software Depends: R (>= 3.1.0) Imports: stats Huaiyu Zhang <huaiyuzhang1988@gmail.com> Comprehensive R Archive Network (CRAN) Huaiyu Zhang, Haiyan Wang GPL-2 2020-07-23 application/tgz https://CRAN.R-project.org/package=tcftt doi:10.32614/CRAN.package.tcftt