<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Factor Model Estimation with Latent Variables</dc:title>
  <dc:title>R package factorana version 1.2.0</dc:title>
  <dc:description>A flexible framework for estimating factor models with multiple
    latent variables. Supports linear, probit, ordered probit, and multinomial
    logit model components. Features include multi-stage estimation, automatic
    parameter initialization, analytical gradients and Hessians, and parallel
    estimation. Methods are described in Heckman, Humphries, and Veramendi
    (2016) &lt;doi:10.1016/j.jeconom.2015.12.001&gt;, Heckman, Humphries, and
    Veramendi (2018) &lt;doi:10.1086/698760&gt;, and Humphries, Joensen, and
    Veramendi (2024) &lt;doi:10.1257/pandp.20241026&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.0), MASS, nnet, parallel, stats, utils</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:relation>Suggests: doParallel, foreach, jsonlite, knitr, nloptr, rmarkdown,
testthat (&gt;= 3.0.0), trustOptim</dc:relation>
  <dc:creator>Greg Veramendi &lt;greg.veramendi@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Greg Veramendi [aut, cre],
  Jess Xiong [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-04-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=factorana</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.factorana</dc:identifier>
</oai_dc:dc>
