normality
Tests for Departure from Normality
v0.0.1
·
Jun 9, 2026
·
MIT + file LICENSE
Description
A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.
CRAN Check Status
8
OK
Show all 8 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
Check History
OK 8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 10, 2026
Version History
new
0.0.1
Jun 9, 2026