
                 Release History of "entropy" Package
               ========================================


             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.


             CHANGES IN `entropy' PACKAGE VERSION 1.1.7

* NAMESPACE file added


             CHANGES IN `entropy' PACKAGE VERSION 1.1.6

* 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".


             CHANGES IN `entropy' PACKAGE VERSION 1.1.5

* small bug in documentation file fixed (for R 2.11.0 release)


             CHANGES IN `entropy' PACKAGE VERSION 1.1.4

* reference to publication (Hausser and Strimmer, 2009) added


             CHANGES IN `entropy' PACKAGE VERSION 1.1.3

* small changes to update documentation


             CHANGES IN `entropy' PACKAGE VERSION 1.1.2

* verbose messages for shrinkage entropy are now more informative and 
  in the same style as those from corpcor
* man pages slightly updated


              CHANGES IN `entropy' PACKAGE VERSION 1.1.1

* bug fix: freqs.shrink() now also works for sample sizes 1 and 0
* freqs.shrink(), entropy.shrink() and mi.shrink() now return the
  estimated shrinkage intensity as attribute (lambda.freqs).


              CHANGES IN `entropy' PACKAGE VERSION 1.1.0

* several new functions added for estimating mutual information:
  mi.plugin(), mi.empirical(), mi.Dirichlet() and mi.shrink().


              CHANGES IN `entropy' PACKAGE VERSION 1.0.0


This package implements the following estimators of entropy:

* the James-Stein shrinkage estimator by Hausser and Strimmer,
* the maximum likelihood estimator,
* the Miller-Madow estimator,
* various Bayesian estimators (based on Dirichlet-multinomial model),
* and the Chen-Shao estimator.

It also provides an R interface to the
*  Nemenman-Shafee-Bialek (NSB) estimator.

This is the first public release (2 September 2008).

