Description: A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. Loopless Generation of Multiset Permutations by Prefix Shifts. SODA 2009, Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from http://home.comcast.net/~tamivox/dave/multinomial/index.html and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here http://jeromekelleher.net/partitions.php. The C++ code and Python code are distributed without conditions.

Title: Parallel processing of R code on machines with multiple cores or CPUs
Description: This package provides a way of running parallel computations in R on machines with multiple cores or CPUs. Jobs can share the entire initial workspace and it provides methods for results collection.
SystemRequirements: POSIX-compliant OS (essentially anything but Windows)

Title: Parallel processing of R code on machines with multiple cores or
Description: This package provides a way of running parallel
computations in R on machines with multiple cores or CPUs. Jobs
can share the entire initial workspace and it provides methods
SystemRequirements: POSIX-compliant OS (essentially anything but

Windows; some Windows variants are supported experimentally,

Title: A stub package to ease transition to 'parallel'.
Description: A stub package to ease transition to 'parallel'.
It imports from 'parallel' or 'tools' and re-exports most of the
functionality formerly in package 'multicore'.
This will be removed from CRAN during 2014.

Title: A Graph-Based Test for Comparing Multivariate Distributions in
Description: We introduce a nonparametric, graphical test based on optimal matching for assessing whether multiple unknown multivariate probability distributions are equal. This method is consistent, and does not make any distributional assumptions on the data. Our procedure combines data that belong to different classes or groups to create a graph on the pooled data, and then utilizes the number of edges connecting data points from different classes to examine equality of distributions among the classes.
Imports: nbpMatching (>= 1.5.1), crossmatch (>= 1.3-1), MASS (>=
Packaged: 2019-06-01 11:46:59 UTC; divyanshagarwal