Last data update: 2014.03.03
|
bimixt
Package: bimixt
Type: Package
Title: Estimates Mixture Models for Case-Control Data
Version: 1.0
Date: 2015-08-24
Author: Michelle Winerip, Garrick Wallstrom, Joshua LaBaer
Maintainer: Michelle Winerip <mwinerip@asu.edu>
Description: Estimates non-Gaussian mixture models of case-control data. The four types of models supported are binormal, two component constrained, two component unconstrained, and four component. The most general model is the four component model, under which both cases and controls are distributed according to a mixture of two unimodal distributions. In the four component model, the two component distributions of the control mixture may be distinct from the two components of the case mixture distribution. In the two component unconstrained model, the components of the control and case mixtures are the same; however the mixture probabilities may differ for cases and controls. In the two component constrained model, all controls are distributed according to one of the two components while cases follow a mixture distribution of the two components. In the binormal model, cases and controls are distributed according to distinct unimodal distributions. These models assume that Box-Cox transformed case and control data with a common lambda parameter are distributed according to Gaussian mixture distributions. Model parameters are estimated using the expectation-maximization (EM) algorithm. Likelihood ratio test comparison of nested models can be performed using the lr.test function. AUC and PAUC values can be computed for the model-based and empirical ROC curves using the auc and pauc functions, respectively. The model-based and empirical ROC curves can be graphed using the roc.plot function. Finally, the model-based density estimates can be visualized by plotting a model object created with the bimixt.model function.
Depends: pROC
License: GPL (>= 3)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-08-24 18:18:50 UTC; mwinerip
Repository: CRAN
Date/Publication: 2015-08-25 00:54:26
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'bimixt' ...
** package 'bimixt' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'bimixt'
finding HTML links ... done
ROCauc html
ROCcoords html
ROCpauc html
ROCplot html
bc.binorm html
bc.fourcomp html
bc.twocomp html
bimixt-package html
finding level-2 HTML links ... done
bimixt.model html
boxcox html
boxcox.deriv html
boxcox.inv html
boxcox.inv.density html
em.twocomp.m1 html
em.twocomp.m2 html
em.twocomp.m3 html
lambda html
lr.test html
maxll html
mn html
plot.model html
print.model html
prop html
rmix html
stdev html
summary.model html
type html
** building package indices
** testing if installed package can be loaded
* DONE (bimixt)
Making 'packages.html' ... done
|