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normality

An R package as a toolkit of statistical approaches for assessing data normality.

There are also other nice alternatives such as nortest, Rita, moments, cmstatr, and other friends.

Installation

or the developmental version from GitHub with:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("P10911004-NPUST/normality")

Quick start

D.Agostino_Pearson_test(cholesterol)

TODO

• Implement functions:
  • skewness()
  • kurtosis()
  • Anderson_Darling_test()
  • Cramer_von_Mises_test()
  • Lilliefors_test()
  • D.Agostino_Pearson_test()
  • Jarque_Bera_test()
  • Shapiro_Wilk_test() with 3 alternatives:
    • Shapiro-Wilk
    • Shapiro-Francia
    • Shapiro-Wilk-Royston
  • Ryan_Joiner_test() pdf

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.