PresenceAbsence

Package: PresenceAbsence
Type: Package
Title: Presence-Absence Model Evaluation.
Version: 1.1.9
Date: 2012-08-17
Depends: R (>= 2.2.0)
Author: Elizabeth Freeman
Maintainer: Elizabeth Freeman <eafreeman@fs.fed.us>
Description: This package provides a set of functions useful when
evaluating the results of presence-absence models. Package
includes functions for calculating threshold dependent measures
such as confusion matrices, pcc, sensitivity, specificity, and
Kappa, and produces plots of each measure as the threshold is
varied. It will calculate optimal threshold choice according to
a choice of optimization criteria. It also includes functions
to plot the threshold independent ROC curves along with the
associated AUC (area under the curve).
License: Unlimited
Packaged: 2012-08-17 18:15:00 UTC; eafreeman
Repository: CRAN
Date/Publication: 2012-08-17 18:47:44

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'PresenceAbsence' ...
** package 'PresenceAbsence' successfully unpacked and MD5 sums checked
** R
** data
** demo
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'PresenceAbsence'
    finding HTML links ... done
    Kappa                                   html  
    PresenceAbsence.package                 html  
    SIM3DATA                                html  
    SPDATA                                  html  
    SPPREV                                  html  
    auc                                     html  
    auc.roc.plot                            html  
    calibration.plot                        html  
    cmx                                     html  
    error.threshold.plot                    html  
    optimal.thresholds                      html  
    pcc                                     html  
    predicted.prevalence                    html  
    presence.absence.accuracy               html  
    presence.absence.hist                   html  
    presence.absence.simulation             html  
    presence.absence.summary                html  
    roc.plot.calculate                      html  
    sensitivity                             html  
    specificity                             html  
** building package indices
** testing if installed package can be loaded
* DONE (PresenceAbsence)
Making 'packages.html' ... done