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maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka.

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maxent: Low-memory Multinomial Logistic Regression with Support for Text Classification

Description:	maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka.
Version:		1.3.2
Depends:		R (≥ 2.13.0), Rcpp, SparseM, tm
Published:		2012-05-22
Authors:		Timothy P. Jurka
Maintainer:		Timothy P. Jurka <tpjurka at ucdavis.edu>
License:		GPL-3


INSTALLATION
============
maxent requires R 2.13+, which can be downloaded at http://www.r-project.org/. To build and install sentiment, run the following commands while in the root folder:

R CMD REMOVE maxent
R CMD BUILD maxent
R CMD INSTALL maxent_X.X.X.tar.gz (where the X's should be replaced with the version number -- e.g. 1.3.2)


SOURCE CODE
============
To modify the R code, go to the maxent folder, and modify files within the R directory. After making changes, ensure the package passes R CHECK using the following command:

R CMD CHECK maxent

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