NEWS

Version 2.2.1
  Changes
  2016-01-25
  1. Fixed a bug introduced in the previous version
  2. Updated package description to be more reflective of recent additions
  3. Included missing references

Version 2.2.0
  Changes
  2016-01-23
  1. Improved code efficiency for fun.chisq.test()
  2. Now fun.chisq.test() returns an estimate of functional index between 0 and 1, in analogy to
       Cramer's V, but asymetrical.
  3. Added additional test examples for fun.chisq.test()

  2016-01-22
  1. Added type argument to fun.chisq.test() to specify functional or
     non-constant functional chi-squares
  2. Added log.p argument to fun.chisq.test() to obtain log of p-value
     to improve accuracy when sample size is large and p-value is close
     to zero

  2015-07-03 (Unpublished version 2.1.1 )
  1. Added cp.chisq.test() for comparative chi-square test, not considering
     functional dependencies.
  2. Added test examples for cp.chisq.test()

Version 2.1.0 2015-06-29
Changes
  1. Substantially reduced the run time of exact functional test by designing a
     better branch and bound strategy.
  2. Enabled C++11 compling by adding two files (Makevars and Makevars.win).
  3. Fixed a bug occured under WIN32 using long double by adding define.h to
     specify double precision for WIN32 and long double precision for WIN64.
  4. Increased float comparison precision by considering a tolerance.
  5. Imported pnorm() and pchisq() from the "stats" package.

Version 2.0.2 2015-03-03
Changes
  1. Updated documentation for the package and its functions.
  2. Fixed a testing issue under r-release-linux-ix86 flavor.

Version 2.0.1 2015-02-23
Changes
  1. Removed assert() function from StatDistribution.cpp.
  2. Removed Makevar and Makevar.win files.
  3. Removed all iostream and sstream and cassert.
  4. Removed TransitionTableIO.cpp.
  5. In the testthat examples, signif(x,8) is used to compare 8 significant
     digits of the results.
  6. Added a normalized functional chi-square test example.

Version 2.0.0 2015-02-12
Changes
  1. Added a new exact functional test as a method option to fun.chisq.test().
     The exact functional test is an exact version of FunChisq test, it is
     more precise to detect functional dependencies in small sample-sized
     contingency tables.
  2. Added a new comparative functional chi-square test for detecting
     heterogeneity in functional dependencies among contingency tables.
  3. Revised the examples and documentation to improve usability.
  4. Added automated test cases into the package.
  5. Started the NEWS file.

Version 1.0 2014-03-08
Changes
  1. The first release of this package implements the functional chi-square
     test and a normalized version.
