https://github.com/cran/FunChisq
Tip revision: 7e83dc802609b026f17b5f8579231dc80bb98004 authored by Joe Song on 20 February 2018, 18:26:28 UTC
version 2.4.5
version 2.4.5
Tip revision: 7e83dc8
NEWS
NEWS
Version 2.4.5
2018-02-08
1. Added a parameter "exact.mode.bound" in the fun.chisq.test()
function to switch ON/OFF the fast branch-and-bound algorithm in
the exact functional test.
2. Updated testthat cases for exact functional test.
Version 2.4.4
2018-02-05
1. Added a new reference (Zhong and Song, 2018) for exact
functional test.
2. Changed the package title to "Chi-Square and Exact Tests for
Model-Free Functional Dependency"
2017-10-26
1. Included a reference for the simulate_tables() function that
describes the strategies used by the function.
2017-06-11
1. Updated the functional indices to be more accurate when the
number of row is less than the number of columns and also
when conditioned on the column sum.
2017-05-29
1. Added "simulate.p.value" method option in fun.chisq.test()
to calculate p-value with Monte carlo simulated distribution.
2017-05-16
1. Updated the vignette for choosing quantities for functional
dependencies.
2017-05-05
1. Fixed a bug in simulating 'discontinuous' contingency tables
when the number of column is two.
2. Updated manuals.
Version 2.4.3
2017-04-27
1. Fixed a bug in specifying the margin to apply noise in
simulate_tables().
2. Added a noise.model parameter in simulate_tables() to
specify either the "house" or "candle" noise model for applying
noise to contingency tables representing ordinal or categorical
data.
2017-04-25
1. Revised package description and manuals.
Version 2.4.2
2017-04-20
1. Renamed pattern type "nonmonotonic" to "many.to.one" in
simulate_tables(). The latter is mathematically correct.
2. Added a "discontinuous" pattern type in simulate_tables().
3. Added a new candle noise model for categorical variables.
4. Sped up add.noise function code by taking advantage of
vectorized multinomial distribution R function.
Version 2.4.1
2017-04-02
1. Revised the manual for function simulate_tables()
2017-02-28
1. Suppressed warning messages when calling chisq.test() to
compute chi-squares in function simulate_tables().
2. Edited the manual for simulate_tables().
3. Edited other manuals for improved consistency with R package
reference format.
Version 2.4.0
2017-02-26
Changes
1. Added a new R function simulate_tables() with supporting test functions.
2. Added a new R function add.house.noise() with supporting test functions.
3. Introduced the use of 'R_registerRoutines' and 'R_useDynamicSymbols'.
Version 2.3.4
Changes
2016-10-01
1. Added keywords to the package manual.
Version 2.3.3
Changes
2016-09-02
1. Updated the vignettes.
Version 2.3.2
Changes
2016-08-29
1. Updated the reference section to fix the year of Pearson's chi-square test
paper which was published in 1900 not 1990.
2016-05-03
1. Now check all options for the method argument so that only valid
methods are allowed.
Version 2.3.1
Changes
2016-05-01
1. Expanded test.interactions() to test many-to-one combinatorial
interactions in C++ via Rcpp.
Version 2.3.0 (not deposited to CRAN)
Changes
2016-04-30
1. Data frame input is now converted to numeric matrix before exact
functional test.
2. Added function test.interactions() to test pairwise (one-to-one)
interactions, implemented in C++ via Rcpp for computational efficiency.
Version 2.2.4
Changes
2016-04-21
1. Added vignette "Which statistic to use for functional dependency
from fun.chisq.test()?"
2. Updated references and description.
Version 2.2.3
Changes
2016-03-31
1. Use [[Rcpp::export]] to automatically generate R interface.
2016-03-15
1. Revised the code to remove dependency on RcppClassic.
2016-03-12
1. Revised help documentation and included new references.
Version 2.2.2
Changes
2016-02-07
1. Handled a special case for the normalized FunChisq when the degrees of
freedom are zero.
2016-02-05
1. Renamed the "type" argument to "alternative" in fun.chisq.test().
2. Revised values of the "method" argument in fun.chisq.test(). Previous
values ("default" and "normalized") are still supported but obsolete.
3. Added the "log.p" argument in both cp.fun.chisq.test() and cp.chisq.test().
4. Updated the documentation.
2016-01-30
1. Added a new argument "index.kind" to fun.chisq.test() to specify
the function index kind: "unconditional" or "conditional" on a given
marginal of Y.
2016-01-26
1. Fixed a bug in cp.chisq.test().
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 function index between
0 and 1, in analogy to Cramer's V, but asymmetrical.
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.