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:	0.7-1
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:	2023-04-21
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>
License:	GPL-3 + file LICENSE
URL:	https://github.com/handcock/rpm
NeedsCompilation:	yes
Citation:	rpm citation info
CRAN checks:	rpm results

Documentation:

Reference manual:

rpm.pdf

Downloads:

Package source:	rpm_0.7-1.tar.gz
Windows binaries:	r-prerel: rpm_0.7-1.zip, r-release: rpm_0.7-1.zip, r-oldrel: rpm_0.7-1.zip
macOS binaries:	r-prerel (arm64): rpm_0.7-1.tgz, r-release (arm64): rpm_0.7-1.tgz, r-oldrel (arm64): rpm_0.7-1.tgz, r-prerel (x86_64): rpm_0.7-1.tgz, r-release (x86_64): rpm_0.7-1.tgz
Old sources:	rpm archive

Linking:

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