<?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>Sparse Estimation of Large Time Series Models</dc:title>
  <dc:title>R package bigtime version 0.2.3</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Estimation of large Vector AutoRegressive (VAR), Vector AutoRegressive with Exogenous Variables X (VARX) and Vector AutoRegressive Moving Average (VARMA) Models with Structured Lasso Penalties, see Nicholson, Wilms, Bien and Matteson (2020) &lt;https://jmlr.org/papers/v21/19-777.html&gt; and Wilms, Basu, Bien and Matteson (2021) &lt;doi:10.1080/01621459.2021.1942013&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.0), methods</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.7), stats, utils, grDevices, graphics, corrplot,
dplyr, ggplot2, tidyr, magrittr</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, RcppEigen</dc:relation>
  <dc:creator>Ines Wilms &lt;i.wilms@maastrichtuniversity.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ines Wilms [cre, aut],
  David S. Matteson [aut],
  Jacob Bien [aut],
  Sumanta Basu [aut],
  Will Nicholson [aut],
  Enrico Wegner [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-08-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bigtime</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bigtime</dc:identifier>
</oai_dc:dc>
