'normalr' that enables researchers to make convenient optimal transformations of multiple variables
Imports: MASS, parallel, purrr, magrittr, ddR, shiny

Imports: MASS, parallel, purrr, magrittr, rlang, shiny

Title: Normal Mixture Models (1-d) {Classes and Methods}

Description: Tests for the composite hypothesis of normality

Title: Normality and White Noise Testing
Description: Includes Omnibus Univariate and Multivariate Normality
Tests (See Doornik and Hansen (1994)). One variation allows for
the possibility of weak dependence rather than independence in
the variable(s). Also included is an univariate white noise
test where the null hypothesis is "white noise" rather than

Description: Includes Omnibus Univariate and Multivariate Normality Tests. One variation allows for the possiblity of weak dependence rather than independence in the variable(s). Also included is an univariate white noise test where the null hypothesis is for "white noise" rather than "strict white noise". The package deals with similar approaches to testing as the "nortest","moments",and "mvnormtest" packages in R.
Packaged: Wed Feb 20 09:44:12 2008; peter

Package: normwn.test
Title: Normality and White Noise Testing
Version: 1.1
Date: 2008-08-22
Author: Peter Wickham <peterwickham@mac.com>
Maintainer: Peter Wickham <peterwickham@mac.com>
Description: Includes Omnibus Univariate and Multivariate Normality
Tests (See Doornik and Hansen (1994). One variation allows for the 	possiblity of weak dependence rather than independence in the 		variable(s). Also  included is an univariate white noise test where 	the null hypothesis is for "white noise" rather than "strict white
noise". The package deals with similar approaches to testing as
the "nortest","moments",and "mvnormtest" packages in R.
License: GPL-3
Packaged: Mon Aug 25 09:07:42 2008; peter

Package: normwn.test
Title: Normality and White Noise Testing
Version: 1.2
Date: 2008-08-31
Author: Peter Wickham <peterwickham@mac.com>
Maintainer: Peter Wickham <peterwickham@mac.com>
Description: Includes Omnibus Univariate and Multivariate Normality
Tests (See Doornik and Hansen (1994)). One variation allows for the 	possiblity of weak dependence rather than independence in the 		variable(s). Also  included is an univariate white noise test where 	the null hypothesis is for "white noise" rather than "strict white
noise". The package deals with similar approaches to testing as
the "nortest","moments",and "mvnormtest" packages in R.
License: GPL-3
Packaged: Sun Aug 31 18:53:06 2008; peter