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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rpm to link to this page.
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