CHANGES IN `entropy' PACKAGE VERSION 1.2.0
* new functions KL.plugin(), KL.empirical(), Kl.Dirichlet(), and
KL.shrink() for computing the Kullback-Leibler divergence.
* new functions chi2.plugin(), chi2.empirical(), chi2.Dirichlet(), and
chi2.shrink() for computing the chi-squared statistic.
* new functions chi2indep.plugin(), chi2indep.empirical(),
chi2indep.Dirichlet(), and chi2indep.shrink() for computing the
chi-squared statistic of independence.
* new discretize2d() function for simple binning of a pair of random
variables.
* in all shrinkage functions the target option has been removed (and
the default uniform target is now always used).
CHANGES IN `entropy' PACKAGE VERSION 1.1.9
* new discretize() function for simple binning of a continuous random
variable.
* now requires R >= 2.15.1.
CHANGES IN `entropy' PACKAGE VERSION 1.1.8
* License file removed.
* Dependencies updated.
* the functions freqs.shrink(), entropy.shrink(), mi.shrink(),
entropy(), and freqs() now allow to specify the shrinkage intensity.
Major changes:
* small in documentation file fixed (for R 2.13.0 release)
* added in documentation that the default unit for the entropy
is "nats" (natural units), for "bits" one needs to set unit="log2".
R implementation of various estimators of entropy, such as the
shrinkage estimator by Hausser and Strimmer, the maximum likelihood
and the Millow-Madow estimator, various Bayesian estimators, and
the Chao-Shen estimator. It also offers an R interface to the NSB
estimator. Furthermore, it provides functions for estimating mutual
information.
