Packaged: Mon Nov  5 22:24:36 2007; admin

Packaged: Thu Apr  3 04:47:41 2008; theussl

Packaged: Sat Jun 28 04:53:17 2008; theussl

Packaged: Wed Jul 23 08:47:35 2008; patrick

Description: Performs a homogeneity analysis (multiple correspondence analysis) and various extensions. Rank restrictions on the category quantifications can be imposed (nonlinear PCA). The categories are transformed by means of optimal scaling with options for nominal, ordinal, and numerical scale levels (for rank-1 restrictions). Variables can be grouped into sets, in order to emulate regression analysis and canonical correlation analysis.
Imports: graphics, stats, ape, scatterplot3d, grDevices

Description: This package performs a homogeneity analysis (multiple correspondence analysis) and various extensions. Rank restrictions on the category quantifications can be imposed (nonlinear PCA). The categories are transformed by means of optimal scaling with options for nominal, ordinal, and numerical scale levels (for rank-1 restrictions). Variables can be grouped into sets, in order to emulate regression analysis and canonical correlation analysis.

Imports: graphics, stats, rgl, ape, scatterplot3d, grDevices

Title: Functions useful for building physics
Description: A collection of functions useful for the analysis of

Title: Useful Functions for Building Physics
Packaged: 2016-06-06 16:05:30 UTC; dlindelof

Packaged: 2016-10-25 09:06:26 UTC; dlindelof

Title: Methods for Closed Testing with Simes Inequality, in Particular
Author: Jelle Goeman, Rosa Meijer, Thijmen Krebs
Description: Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented.

Description: Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented. The methods have been described in detail in Meijer et al (2016) <arXiv:1611.06739>.