pqrfe
1.3Penalized Quantile Regression with Fixed Effects
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2.9Kdownloads / year
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Overview
About
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.
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CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Check history
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-06-0812 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Dependencies
Declared dependencies
5 external dependencies (excludes base and recommended)
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none
Imports (2)
RcppMASS
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none
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Code & Tests
People & History
People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author · added in 1.1
Author · added in 1.1
Package metadata
- First published
- 2022-10-20
- Total releases
- 4 / 4 yrs
- License
- GPL (>= 2) OSI
- Download size
- 13 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet