pqrfe
Penalized Quantile Regression with Fixed Effects
Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
rolling linux/jammy R-4.5 | pqrfe_1.3.tar.gz |
109.6 KiB |
1.3 |
rolling linux/noble R-4.5 | pqrfe_1.3.tar.gz |
112.0 KiB |
1.3 |
rolling source/ R- | pqrfe_1.3.tar.gz |
12.5 KiB |
1.3 |
latest linux/jammy R-4.5 | pqrfe_1.3.tar.gz |
109.6 KiB |
1.3 |
latest linux/noble R-4.5 | pqrfe_1.3.tar.gz |
112.0 KiB |
1.3 |
latest source/ R- | pqrfe_1.3.tar.gz |
12.5 KiB |
1.3 |
2026-04-26 source/ R- | pqrfe_1.3.tar.gz |
12.5 KiB |
1.3 |
2026-04-23 source/ R- | pqrfe_1.3.tar.gz |
12.5 KiB |
1.3 |
2026-04-09 windows/windows R-4.5 | pqrfe_1.3.zip |
428.8 KiB |
1.1 |
2025-04-20 source/ R- | pqrfe_1.1.tar.gz |
19.4 KiB |