hhg.univariate.ks.combined.test
(Package: HHG) :
The combined K-sample test statistics and their p-values
Function for performing the combined omnibus distribution-free test of equality of distributions among K groups, as described in Heller et al. (2014). The test combines statistics from a range of partition sizes.
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ks.combined.test
●
0 images
|
hhg.univariate.ind.stat
(Package: HHG) :
The independence test statistics for all partition sizes
These statistics are used in the omnibus distribution-free test of independence between two univariate random variables, as described in Heller et al. (2014).
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ind.stat
●
0 images
|
print.HHG.Test.Result
(Package: HHG) :
Print function for result of HHG tests
Print description of for result object of HHG tests
● Data Source:
CranContrib
● Keywords:
● Alias: print.HHG.Test.Result
●
0 images
|
Six examples (Circle, Diamond, Parabola, 2Parabolas, W, 4indclouds) are taken from Newton's introduction to the discussion of the Energy Test in The Annals of Applied Statistics (2009). These are simple univariate dependence structures (or independence, in the latter case) used to demonstrate the tests of independece. The remaining examples (TwoClassUniv, FourClassUniv, TwoClassMultiv) generate data suitable for demonstrating the k-sample test (and in particular, the two-sample test).
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.example.datagen
●
2 images
|
hhg.univariate.ind.combined.test
(Package: HHG) :
The combined independence test statistics for all partition sizes
A Class of Consistent Univariate Distribution-Free Tests of Independence - function for computation of combined test
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ind.combined.test
●
0 images
|
hhg.univariate.nulltable.from.mstats
(Package: HHG) :
Constructor of Distribution Free Null Table Using Existing Statistics
This function converts null test statistics for different partition sizes into the null table object necessary for the computation of p-values efficiently.
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.nulltable.from.mstats
●
0 images
|
hhg.univariate.ind.nulltable
(Package: HHG) :
The independence test null tables for all partition sizes
Functions for creating null table objects, for the omnibus distribution-free test of independence between two univariate random variables, as described in Heller et al. (2014). To be used for the p-value computation, see examples in hhg.univariate.ind.pvalue.
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ind.nulltable
●
0 images
|
HHG-package
(Package: HHG) :
Heller-Heller-Gorfine (HHG) Tests of Independence and Equality of Distributions
This R package implements the permutation test of independnece between two random vectors of arbitrary dimensions, and equality of two or more multivariate distributions, introduced in Heller et al. (2013), as well as the distribution-free tests of independence and equality of distribution between two univariate random variables introduced in Heller et al. (2014).
● Data Source:
CranContrib
● Keywords:
● Alias: HHG, HHG-package
●
0 images
|
hhg.univariate.ks.stat
(Package: HHG) :
The K-sample test statistics for all partition sizes
These statistics are used in the omnibus distribution-free test of equality of distributions among K groups, as described in Heller et al. (2014).
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ks.stat
●
1 images
|
hhg.univariate.ks.nulltable
(Package: HHG) :
The K-sample test null tables for all partition sizes
Functions for creating null table objects, for the omnibus distribution-free test of equality of distributions among K groups, as described in Heller et al. (2014). To be used for the p-value computation, see examples in hhg.univariate.ks.pvalue.
● Data Source:
CranContrib
● Keywords:
● Alias: hhg.univariate.ks.nulltable
●
0 images
|
providing 
.