Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Version: 0.6.0 Imports: glmnet (≥ 3.0.0), ggplot2 (≥ 2.2.1), Rdpack, Rcpp (≥ 0.12.15), Rglpk (≥ 0.6-1), rlang (≥ 1.0), stats LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat, dplyr, tidyr, covr Published: 2023-05-16 DOI: 10.32614/CRAN.package.hdme Author: Oystein Sorensen [aut, cre] Maintainer: Oystein Sorensen <oystein.sorensen.1985 at gmail.com> License: GPL-3 URL: https://github.com/osorensen/hdme NeedsCompilation: yes Citation: hdme citation info Materials: README NEWS CRAN checks: hdme results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hdme to link to this page.
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