Package: cocorresp
Type: Package
Title: Co-correspondence analysis methods
Version: 0.2-0
Date: 2011-Sep-20
Depends: stats, graphics, vegan (>= 1.17-12)
Author: Original Matlab routines by C.J.F. ter Braak and A.P.
Schaffers. R port by Gavin L. Simpson.  Function simpls based
on simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge
Mevik.
Maintainer: Gavin L. Simpson <gavin.simpson@ucl.ac.uk>
Description: Fits predictive and symmetric co-correspondence analysis
(CoCA) models to relate one data matrix to another data matrix.
More specifically, CoCA maximises the weighted covariance
between the weighted averaged species scores of one community
and the weighted averaged species scores of another community.
CoCA attempts to find patterns that are common to both
communitities.
License: GPL-2
Packaged: 2012-04-04 19:41:02 UTC; gavin
Repository: CRAN
Date/Publication: 2012-04-05 05:38:57

Depends: stats, graphics, vegan (>= 2.2-0)
scores of another community. CoCA attempts to find patterns that are common to both communities.

Description: Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.

Title: Statistical comparisons of two or more alpha coefficients
Description: This package provides functions to statistically compare
two or more alpha coefficients based on either dependent or

Description: This package provides functions to statistically compare two or
more alpha coefficients based on either dependent or independent groups of

Title: Statistical Comparisons of Two or more Alpha Coefficients
Description: Statistical tests for the comparison between two or more alpha
coefficients based on either dependent or independent groups of individuals.
A web interface is available at http://comparingcronbachalphas.org. A plugin
for the R GUI and IDE RKWard is included. Please install RKWard from https://
rkward.kde.org to use this feature. The respective R package 'rkward' cannot be
installed directly from a repository, as it is a part of RKWard.