c(person("Fritz", "Scholz",role=c("aut","cre"),email =
"fscholz@uw.edu"), person("Angie", "Zhu", role=c("aut","cre"),
email= "angiezh@u.washington.edu"))

Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests
with different rank score criteria, Steel's multiple comparison test, and the
Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact
P-values, all valid under randomization, with or without ties, or conditionally
under random sampling from populations, given the observed tie pattern.  Except for
Steel's test and the JT test it also combines these tests across several blocks of
samples.  Also analyzed are 2 x t contingency tables and their blocked combinations
using the Kruskal-Wallis criterion.  Steel's test is inverted to provide simultaneous
confidence bounds for shift parameters.  A plotting function compares tail probabilities
obtained under asymptotic approximation with those obtained via simulation or exact
calculations.

Unbiased Estimators for Cumulant Products
Elvira Di Nardo <elvira.dinardo@unito.it>, Giuseppe Guarino <giuseppe.guarino@rete.basilicata.it>
Methods and tools for estimate (joint) cumulants of a given population distribution using  (multivariate) k-statistics and (multivariate) polykays,symmetric unbiased estimators with minimum variance. For more details see Di Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>.

Tools for estimate (joint) cumulants and products of (joint) cumulants of a given population distribution using (multivariate) k-statistics and (multivariate) polykays, unbiased estimators with minimum variance. Tools for generating univariate and multivariate Faa di Bruno's formula and related polynomials, such as Bell polynomials, generalized complete Bell polynomials, partition polynomials, generalized partition polynomials. For more details see Di Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>, <arXiv:1012.6008>.

Unbiased Estimators for Cumulant Products and Faa Di Bruno's
Formula
Tools for estimate (joint) cumulants and (joint) products of cumulants of a random sample using (multivariate) k-statistics and (multivariate) polykays, unbiased estimators with minimum variance. Tools for generating univariate and multivariate Faa di Bruno's formula and related polynomials, such as Bell polynomials, generalized complete Bell polynomials, partition polynomials and generalized partition polynomials. For more details see Di Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>, <arXiv:1012.6008>.