rpm: Modeling of Revealed Preferences Matchings
Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.
| Version: |
0.7-3 |
| Depends: |
R (≥ 4.0.0), abind, future, doRNG, methods |
| Imports: |
Rcpp, nloptr, matrixStats, MASS, dplyr, ggplot2, coda, doFuture, foreach |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat |
| Published: |
2024-04-18 |
| DOI: |
10.32614/CRAN.package.rpm |
| Author: |
Mark S. Handcock 
[aut, cre],
Ryan M. Admiraal [ctb],
Fiona C. Yeung [ctb],
Heide M. Jackson [ctb],
Michael S. Rendall [ctb],
Shuchi Goyal [ctb] |
| Maintainer: |
Mark S. Handcock <handcock at stat.ucla.edu> |
| BugReports: |
https://github.com/handcock/rpm/issues |
| License: |
GPL-3 + file LICENSE |
| URL: |
https://github.com/handcock/rpm |
| NeedsCompilation: |
yes |
| Citation: |
rpm citation info |
| CRAN checks: |
rpm results |
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