Title: Regression Analysis Based on Win Loss Endpoints
Description: Use various regression models for the analysis of win loss endpoints
adjusting for non-binary and multivariate covariates.
Packaged: 2017-04-18 02:46:58 UTC; Administrator

Title: William and Mary Parser For Bruker-Ultraflex Mass Spec Data
Author: William Cooke, Maureen Tracy and Dariya Malyarenko
Description: The package parses Bruker Ultraflex TOF mass spectrometry
data and experimental parameter files into R structures for
further signal processing and statistical analysis.
Packaged: 2009-12-23 01:32:25 UTC; Maureen Tracy

Title: GUI implementing Bayesian working memory models
Description: A GUI R implementation of hierarchical Bayesian models of
working memory, used for analyzing change detection data.

Author: R. D. Morey <richarddmorey@gmail.com>
Maintainer: R. D. Morey <richarddmorey@gmail.com>
Depends: gtools, gWidgets, gWidgetsRGtk2, coda, cairoDevice

Depends: R (>= 2.10), gtools, gWidgets, gWidgetsRGtk2, coda,

Description: A GUI R implementation of hierarchical Bayesian models of working memory, used for analyzing change detection data.

Title: GUI Implementing Bayesian Working Memory Models

Package: WMDB
Type: Package
Title: Discriminant Analysis Methods by Weight Mahalanobis Distance and
bayes
Version: 1.0
Date: 2012-06-28
Author: Bingpei Wu
Maintainer: Bingpei Wu<jianpeizhon@126.com>
Description: Distance discriminant analysis method is one of
classification methods according to multiindex performance
parameters.However,the traditional Mahalanobis distance
discriminant method treats with the importance of all
parameters equally,and exaggerates the role of parameters which
changes a little.The weighted Mahalanobis distance is used in
discriminant analysis method to distinguish the importance of
each parameter.In the concrete application,firstly based on the
principal component analysis scheme,a new group of parameters
and their corresponding percent contributions of the parameters
are calculated ,and the weighted matrix is regarded as the
diagonal matrix of the contributions rates.Setting data to
standardization,then the weighted Mahalanobis distance can be
calculated.Besides the methods metioned above,bayes method is
also given.
License: GPL (>= 2)
Packaged: 2012-07-06 14:04:03 UTC; Administrator
Repository: CRAN
Date/Publication: 2012-07-06 15:58:00