This package performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.

To install this package directly within R type: install.packages("anacor", repos="http://R-Forge.R-project.org")

Version: 1.0-0 | Last change: 2009-08-01 00:31:03+02 | Rev.: 100

Stable Release: Get anacor 1.0-0 from CRAN

This package consists of two main functions: The first function is corAspect() performs optimal scaling by maximizing an aspect (i.e. target function such as sum eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. The second function is lineals() which performs optimal scaling by mimimization a non-correlational aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as SEM. A platform including related PsychoR packages is provided on R-forge.

To install this package directly within R type: install.packages("aspect", repos="http://R-Forge.R-project.org")

Version: 0.8-1 | Last change: 2009-03-23 12:20:54+01 | Rev.: 84

Stable Release: Get aspect 0.8-1 from CRAN

This package performs a homogeneity 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.

To install this package directly within R type: install.packages("homals", repos="http://R-Forge.R-project.org")

Version: 1.0-0 | Last change: 2009-07-31 19:58:18+02 | Rev.: 96

Stable Release: Get homals 1.0-0 from CRAN

This package contains two main functions: gpava() for solving general isotone regression problem using the pool-adjacent-violators algorithm (PAVA). activeSet() provides a framework of active set methods for isotone optimization problems with arbitrary order restrictions. Various types of loss functions are pre-spcified.

To install this package directly within R type: install.packages("isotone", repos="http://R-Forge.R-project.org")

Version: 1.0-0 | Last change: 2009-10-20 20:14:08+02 | Rev.: 106

Stable Release: Get isotone 1.0-0 from CRAN

This package provides the following approaches of multidimensional scaling (MDS) based on stress minimization by means of majorization (smacof): Simple smacof on symmetric dissimilarity matrices, smacof for rectangular matrices (unfolding models), smacof with constraints on the configuration, three-way smacof for individual differences (including constraints for idioscal, indscal, and identity), and spherical smacof (primal and dual algorithm). Each of these approaches is implemented in a metric and nonmetric manner including primary, secondary, and tertiary approaches for tie handling.

To install this package directly within R type: install.packages("smacof", repos="http://R-Forge.R-project.org")

Version: 1.0-0 | Last change: 2009-08-14 03:29:36+02 | Rev.: 101

Stable Release: Get smacof 1.0-0 from CRAN