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expperm (version 1.6)

Computing Expectations and Marginal Likelihoods for Permutations

Description

A set of functions for computing expected permutation matrices given a matrix of likelihoods for each individual assignment. It has been written to accompany the forthcoming paper 'Computing expectations and marginal likelihoods for permutations'. Publication details will be updated as soon as they are finalized.

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Version

Install

install.packages('expperm')

Monthly Downloads

188

Version

1.6

License

GPL-3

Maintainer

Ben Powell

Last Published

May 28th, 2019

Functions in expperm (1.6)

brute

Brute-force calculation of an expected permutation matrix
BG_cpp

The Brualdi-Gibson method for computing an expected permutation matrix using C++
A

A small random matrix
expperm-package

expperm
df2

A (second) small data frame of simulated records
ryser_cpp

The Ryser method for computing an expected permutation matrix using C++
sink

A variational approximation of an expected permutation matrix
brute_cpp

Brute-force calculation of an expected permutation matrix using C++
df1

A small data frame of simulated records
sink_cpp

A variational approximation of an expected permutation matrix using C++
triA

A small random tridiagonal matrix
BG

The Brualdi-Gibson method for computing an expected permutation matrix
is.tridiagonal

Checking a matrix is tridiagonal
ryser

The Ryser method for computing an expected permutation matrix