pemultinom
L1-Penalized Multinomial Regression with Statistical Inference
We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in "Tian, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024). L1‐Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes. Statistics in Medicine, 43(30), 5711-5747."
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | pemultinom_0.1.1.tar.gz |
141.2 KiB |
0.1.1 |
rolling linux/noble R-4.5 | pemultinom_0.1.1.tar.gz |
143.1 KiB |
0.1.1 |
rolling source/ R- | pemultinom_0.1.1.tar.gz |
19.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | pemultinom_0.1.1.tar.gz |
141.2 KiB |
0.1.1 |
latest linux/noble R-4.5 | pemultinom_0.1.1.tar.gz |
143.1 KiB |
0.1.1 |
latest source/ R- | pemultinom_0.1.1.tar.gz |
19.1 KiB |
0.1.1 |
2026-04-26 source/ R- | pemultinom_0.1.1.tar.gz |
19.1 KiB |
0.1.1 |
2026-04-23 source/ R- | pemultinom_0.1.1.tar.gz |
19.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | pemultinom_0.1.1.zip |
462.6 KiB |
0.1.1 |
2025-04-20 source/ R- | pemultinom_0.1.1.tar.gz |
19.1 KiB |