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) <arXiv:2007.10952>. Also estimates high-dimensional local projections by the desparsified lasso, as described in Adamek et al. (2022) <arXiv:2209.03218>.

Getting started

Package details

AuthorRobert Adamek [cre, aut], Stephan Smeekes [aut], Ines Wilms [aut]
MaintainerRobert Adamek <robertadamek94@gmail.com>
LicenseGPL (>= 2)
Version0.3.0
URL https://github.com/RobertAdamek/desla
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("desla")

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desla documentation built on July 9, 2023, 5:43 p.m.