desla: Desparsified Lasso Inference for Time Series

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>.

Version: 0.3.0
Imports: Rcpp, Rdpack, stats, parallelly
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, sitmo
Suggests: ggplot2
Published: 2023-06-29
DOI: 10.32614/CRAN.package.desla
Author: Robert Adamek [cre, aut], Stephan Smeekes [aut], Ines Wilms [aut]
Maintainer: Robert Adamek <robertadamek94 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: desla results


Reference manual: desla.pdf


Package source: desla_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): desla_0.3.0.tgz, r-oldrel (arm64): desla_0.3.0.tgz, r-release (x86_64): desla_0.3.0.tgz, r-oldrel (x86_64): desla_0.3.0.tgz
Old sources: desla archive


Please use the canonical form to link to this page.