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.

Sequential Space-Filling Design under the Criterion of Maximin
Distance
Furong Sun <furongs@vt.edu>, Robert B. Gramacy <rbg@vt.edu>
Builds up sequential space-filling design under the criterion of maximin distance. Both discrete and continuous versions are provided.

Space-Filling Design under Maximin Distance
Constructs a space-filling design under the criterion of maximin distance. Both discrete and continuous versions are provided.

Constructs a space-filling design under the criterion of maximum-minimum distance. Both discrete and continuous searches are provided.

Estimate probability of occurrence using presence-only data.
Provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a speciesdistribution.

Model species distributions by estimating the probability of
occurrence using presence-only data.
Provides a likelihood-based approach to modeling species
distributions using presence-only data. In contrast to the
popular software program MAXENT, this approach yields estimates
of the probability of occurrence, which is a natural descriptor
of a species' distribution.

Provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species' distribution.

Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data
Richard Chandler, Andy Royle and Roeland Kindt