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
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Package details |
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| Author | as.person(c( "Miller Zijie Zhu <zijie.zhu@williams.edu> [aut]", "Andy Yao <ay3@williams.edu> [aut]", "David Kane <dave.kane@gmail.com> [aut]", "Yuanchu Dang <yuanchu.dang@williams.edu> [aut]", "Mike Flynn <mflynn210@@gmail.com> [aut]" )) |
| Maintainer | Miller Zijie Zhu <zz4@williams.edu>, Andy Yao <ay3@williams.edu> |
| License | GPL-3 |
| Version | 0.3-2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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