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

● 0 images, 27 functions, 0 datasets
● Reverse Depends: 0

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