Package: ModelMap
Type: Package
Title: Creates Random Forest and Stochastic Gradient Boosting Models,
        and applies them to GIS .img files to build detailed prediction
        maps.
Version: 2.1.1
Date: 2011-04-21
Depends: R (>= 2.8.1), randomForest, gbm, PresenceAbsence, rgdal,
        fields
Author: Elizabeth Freeman, Tracey Frescino
Maintainer: Elizabeth Freeman <eafreeman@fs.fed.us>
Description: This package will create sophisticated models of training
        data and validate the models with an independant test set,
        cross validation, or in the case of Random Forest Models, with
        Out OF Bag (OOB) predictions on the training data. It will
        creat graphs and tables of the model validation results. It
        will apply these models to GIS .img files of predictors to
        create detailed prediction surfaces. It will handle large
        predictor files for map making, by reading in the .img files in
        chuncks, and output to the .txt file the prediction for each
        data chunk, before reading the next chenk of data.
License: Unlimited
Packaged: 2011-04-22 23:47:34 UTC; eafreeman
Repository: CRAN
Date/Publication: 2011-04-23 20:54:47
Built: R 2.13.2; ; 2012-02-25 02:23:43 UTC; windows
