Modeling of Revealed Preferences Matchings
ANOVA for rpm Fits
Auxiliary for Controlling rpm
This is the version of Gale-Shapley stable matching algorithm (transla...
Calculate goodness-of-fit statistics for Revealed Preference Matchings...
Returns a list containing the terms in a given formula
A logLik method for [rpm] fits.
Calculate the null model likelihood
[print] objects to the [message] output.
Micro simulate a population from a Revealed Preference Matchings Model
Row-wise argmax (0-based column indices)
Row-wise argmax (0-based column indices)
Fit a Revealed Preference Matchings Model
Internal rpm Objects
Modeling of Revealed Preferences Matchings
Terms used in a Revealed Preference Matchings Model
Creates a model function list for the continuous terms in a Revealed P...
Creates a model matrix to estimate the parameters of a Revealed Prefer...
Fit a Revealed Preference Matchings Model
Compute the population distribution of pairs and singles from a Reveal...
Simulate a sample of pairs and singles from a Revealed Preference Matc...
Summarize Revealed Preference Matchings data via a Model Specification
Summarizing rpm Model Fits
Extract or replace the ultimate (last) element of a vector or a list...
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>.