rowwise_max_idx

Returns the column index of the maximum element in each row of A.
Uses Armadillo's `index_max()` to avoid deprecated `.max(uword&amp;)`.

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>.

Mark S Handcock

Modeling of Revealed Preferences Matchings

Mark S. Handcock

Ryan M.  Admiraal

Fiona C. Yeung

Heide M. Jackson

Michael S. Rendall

Shuchi Goyal

rowwise_max_idx function

<dl><dt>A</dt>
<dd>Numeric matrix.</dd></dl>

Arguments

Row-wise argmax (0-based column indices) — rowwise_max_idx

<dl>

<dt>A</dt>
<dd>Numeric matrix.</dd>

</dl>

rowwise_max_idx: Row-wise argmax (0-based column indices)

Description

Usage

Value

Arguments