Package: consrq 1.0
Michail Tsagris
consrq: Constrained Quantile Regression
Constrained quantile regression is performed. One constraint is that all beta coefficients (including the constant) cannot be negative, they can be either 0 or strictly positive. Another constraint is that the beta coefficients lie within an interval. References: Koenker R. (2005) Quantile Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.
Authors:
consrq_1.0.tar.gz
consrq_1.0.tar.gz(r-4.5-noble)consrq_1.0.tar.gz(r-4.4-noble)
consrq_1.0.tgz(r-4.4-emscripten)consrq_1.0.tgz(r-4.3-emscripten)
consrq.pdf |consrq.html✨
consrq/json (API)
| # Install 'consrq' in R: |
| install.packages('consrq', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:4d5c7a2082. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:int.crqint.mcrqmpcrqmprqpcrqprq
Dependencies:latticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Constrained Quantile Regression | consrq-package |
| Lower and upper bound constrained quantile regression | int.crq int.mcrq |
| Positive and unit sum constrained quantile regression | mpcrq pcrq |
| Positively constrained quantile regression | mprq prq |