Package: hdme 0.6.0
Oystein Sorensen
hdme: High-Dimensional Regression with Measurement Error
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>).
Authors:
hdme_0.6.0.tar.gz
hdme_0.6.0.zip(r-4.5)hdme_0.6.0.zip(r-4.4)hdme_0.6.0.zip(r-4.3)
hdme_0.6.0.tgz(r-4.4-x86_64)hdme_0.6.0.tgz(r-4.4-arm64)hdme_0.6.0.tgz(r-4.3-x86_64)hdme_0.6.0.tgz(r-4.3-arm64)
hdme_0.6.0.tar.gz(r-4.5-noble)hdme_0.6.0.tar.gz(r-4.4-noble)
hdme_0.6.0.tgz(r-4.4-emscripten)hdme_0.6.0.tgz(r-4.3-emscripten)
hdme.pdf |hdme.html✨
hdme/json (API)
NEWS
| # Install 'hdme' in R: |
| install.packages('hdme', repos = c('https://osorensen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/osorensen/hdme/issues
Last updated 1 years agofrom:610d1c9c14. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win-x86_64 | OK | Nov 04 2024 |
| R-4.5-linux-x86_64 | OK | Nov 04 2024 |
| R-4.4-win-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-aarch64 | OK | Nov 04 2024 |
| R-4.3-win-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-aarch64 | OK | Nov 04 2024 |
Exports:corrected_lassocv_corrected_lassocv_gdsgdsgmu_lassogmusmus
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackRglpkrlangscalesshapeslamsurvivaltibbleutf8vctrsviridisLitewithr
