Last data update: 2014.03.03
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RTextTools
Package: RTextTools
Type: Package
Title: Automatic Text Classification via Supervised Learning
Version: 1.4.2
Date: 2014-01-18
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
Emiliano Grossman, Wouter van Atteveldt
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.15.0), SparseM
Imports: methods, randomForest, tree, nnet, tm, e1071, ipred, caTools,
maxent, glmnet, tau
Description: RTextTools is a machine learning package for automatic
text classification that makes it simple for novice users to
get started with machine learning, while allowing experienced
users to easily experiment with different settings and
algorithm combinations. The package includes nine algorithms
for ensemble classification (svm, slda, boosting, bagging,
random forests, glmnet, decision trees, neural networks,
maximum entropy), comprehensive analytics, and thorough
documentation.
License: GPL-3
URL: http://www.rtexttools.com/
NeedsCompilation: yes
Repository: CRAN
Packaged: 2014-01-19 01:10:18 UTC; tjurka
Date/Publication: 2014-01-19 09:07:18
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'RTextTools' ...
** package 'RTextTools' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c api.c -o api.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c danish_stem.c -o danish_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c dutch_stem.c -o dutch_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c english_stem.c -o english_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c finnish_stem.c -o finnish_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c french_stem.c -o french_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c german_stem.c -o german_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c italian_stem.c -o italian_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c mytest.c -o mytest.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c norwegian_stem.c -o norwegian_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c portuguese_stem.c -o portuguese_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c russian_stem.c -o russian_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c spanish_stem.c -o spanish_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c swedish_stem.c -o swedish_stem.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I. -I../Snowball/q -I/usr/local/include -fpic -g -O2 -c utilities.c -o utilities.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o RTextTools.so api.o danish_stem.o dutch_stem.o english_stem.o finnish_stem.o french_stem.o german_stem.o italian_stem.o mytest.o norwegian_stem.o portuguese_stem.o russian_stem.o spanish_stem.o swedish_stem.o utilities.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/RTextTools/libs
** R
** data
** demo
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'RTextTools'
finding HTML links ... done
NYTimes html
USCongress html
analytics-class html
analytics_virgin-class html
classify_model html
classify_models html
create_analytics html
create_container html
create_ensembleSummary html
create_matrix html
create_precisionRecallSummary html
create_scoreSummary html
cross_validate html
getStemLanguages html
matrix_container-class html
print_algorithms html
read_data html
recall_accuracy html
summary.analytics html
summary.analytics_virgin html
train_model html
train_models html
wordStem html
** building package indices
** testing if installed package can be loaded
* DONE (RTextTools)
Making 'packages.html' ... done
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