normality
Tests for Departure from Normality
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | normality_0.0.1.tar.gz |
49.2 KiB |
0.0.1 |
rolling linux/noble R-4.5 | normality_0.0.1.tar.gz |
49.2 KiB |
0.0.1 |
rolling source/ R- | normality_0.0.1.tar.gz |
11.8 KiB |
0.0.1 |
latest linux/jammy R-4.5 | normality_0.0.1.tar.gz |
49.2 KiB |
0.0.1 |
latest linux/noble R-4.5 | normality_0.0.1.tar.gz |
49.2 KiB |
0.0.1 |
latest source/ R- | normality_0.0.1.tar.gz |
11.8 KiB |
0.0.1 |
2026-04-23 source/ R- | normality_0.0.1.tar.gz |
0 B |
Dependencies (latest)
Suggests
- testthat (>= 3.0.0)