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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 gmail.com> |
BugReports: | https://github.com/RobertAdamek/desla/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/RobertAdamek/desla |
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: desla_0.3.0.zip, r-release: desla_0.3.0.zip, r-oldrel: desla_0.3.0.zip |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.