<?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>Inference for Linear Models with Nuisance Parameters</dc:title>
  <dc:title>R package LMN version 1.1.3</dc:title>
  <dc:description>Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model.  Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.4.4), SuperGauss, stats</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:relation>Suggests: testthat, numDeriv, mniw, knitr, rmarkdown, bookdown,
kableExtra</dc:relation>
  <dc:creator>Martin Lysy &lt;mlysy@uwaterloo.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Martin Lysy [aut, cre],
  Bryan Yates [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-08-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LMN</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LMN</dc:identifier>
</oai_dc:dc>
