Package: desla
Type: Package
Title: Desparsified Lasso Inference for Time Series
Version: 0.3.1
Authors@R: c(
    person("Robert", "Adamek", email="robertadamek94@gmail.com", role=c("cre", "aut")),
    person("Stephan", "Smeekes", email = "s.smeekes@maastrichtuniversity.nl", role = "aut"),
    person("Ines", "Wilms", email = "i.wilms@maastrichtuniversity.nl", role = "aut")
    )
Description: Calculates the desparsified lasso as originally introduced
        in van de Geer et al. (2014) <doi:10.1214/14-AOS1221>, and
        provides inference suitable for high-dimensional time series,
        based on the long run covariance estimator in Adamek et al.
        (2020) <doi:10.48550/arXiv.2007.10952>. Also estimates
        high-dimensional local projections by the desparsified lasso,
        as described in Adamek et al. (2022)
        <doi:10.48550/arXiv.2209.03218>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, sitmo
Imports: Rcpp, Rdpack, stats, parallelly
URL: https://github.com/RobertAdamek/desla
BugReports: https://github.com/RobertAdamek/desla/issues
Suggests: ggplot2
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2026-10-26 11:38:48 UTC; root
Author: Robert Adamek [cre, aut], Stephan Smeekes [aut], Ines Wilms
        [aut]
Maintainer: Robert Adamek <robertadamek94@gmail.com>
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-22 11:00:08 UTC
RemoteUrl: https://github.com/cran/desla
RemoteRef: HEAD
RemoteSha: 0719d9f38a911b9f625da279ac5335e1e748f94e