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-4.7-any)consrq_1.0.tar.gz(r-4.6-any)
consrq_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:4d5c7a2082. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | OK | 143 | ||
| wasm-release | OK | 120 |
Exports:int.crqint.mcrqmpcrqmprqpcrqprq
Dependencies:latticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloRcppParallelRfastSparseMsurvivalzigg
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 |