davidkane9/kmatching: Creates random vectors fulfilling constraints

Given a data frame, extract the matching vectors and weight vectors from the data set. The matching vectors and the weight vectors form a linear constraint Aw=b. Then, sample uniformly from the positive solution space of Aw=b, using hit-and-run algorithm. Return the sampled w's as the weights.

Getting started

Package details

Authoras.person(c( "Miller Zijie Zhu <[email protected]> [aut]", "Andy Yao <[email protected]> [aut]", "David Kane <[email protected]> [aut]", "Yuanchu Dang <[email protected]> [aut]", "Mike Flynn <[email protected]@gmail.com> [aut]" ))
MaintainerMiller Zijie Zhu <[email protected]>, Andy Yao <[email protected]>
LicenseGPL-3
Version0.3-2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("davidkane9/kmatching")
davidkane9/kmatching documentation built on May 15, 2019, 1:14 a.m.