penppml
0.2.4Penalized Poisson Pseudo Maximum Likelihood Regression
Overview
A set of tools that enables efficient estimation of penalized Poisson Pseudo Maximum Likelihood regressions, using lasso or ridge penalties, for models that feature one or more sets of high-dimensional fixed effects. The methodology is based on Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021) http://hdl.handle.net/10986/35451 and takes advantage of the method of alternating projections of Gaure (2013) doi:10.1016/j.csda.2013.03.024 for dealing with HDFE, as well as the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010) doi:10.18637/jss.v033.i01 for fitting lasso regressions. The package is also able to carry out cross-validation and to implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016) doi:10.1080/07350015.2015.1102733.
Install
Health
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE2026-04-2210 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-189 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1010 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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Repository
Repository practices
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Checks run against github.com/tomzylkin/penppml on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
7 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.4Latest
- RR 4.4.0 released · 2024-04-24
- 0.2.32023-09-08 · diff ↗
- 0.2.22023-04-22 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.2.12022-12-16 · diff ↗
- 0.2.02022-10-24 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.12022-01-03 · diff ↗
- 0.1.02021-09-09
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-09-09
- Total releases
- 7 / 5 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 1.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet