Title: kbest: Finds K best paths in a given graph.
Description: Finds K shortest paths in a given graph.

Title: k Nearest Neighbors with Grid Search Variable Selection
Authors@R: c(person("Eddie", "Pei", email = "ep2667@rit.edu",
person("Ernest", "Fokoue" , role = c("aut")))
Description: k Nearest Neighbors with variable selection, combine grid search and forward selection to achieve variable selection in order to improve k Nearest Neighbors predictive performance.

Title: K-Sample Rank Tests and their Combinations
Description: Compares k samples using the Anderson-Darling test,
Kruskal-Wallis type tests with different rank score criteria,
and Steel's multiple comparison 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 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 shows that asymptotic approximations for
small sample sizes provide only very limited utility when
comparing tail probabilities with those obtained via simulation

Description: 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