Package: unitquantreg 0.0.6
unitquantreg: Parametric Quantile Regression Models for Bounded Data
A collection of parametric quantile regression models for bounded data. At present, the package provides 13 parametric quantile regression models. It can specify regression structure for any quantile and shape parameters. It also provides several S3 methods to extract information from fitted model, such as residual analysis, prediction, plotting, and model comparison. For more computation efficient the [dpqr]'s, likelihood, score and hessian functions are written in C++. For further details see Mazucheli et. al (2022) <doi:10.1016/j.cmpb.2022.106816>.
Authors:
unitquantreg_0.0.6.tar.gz
unitquantreg_0.0.6.zip(r-4.5)unitquantreg_0.0.6.zip(r-4.4)unitquantreg_0.0.6.zip(r-4.3)
unitquantreg_0.0.6.tgz(r-4.4-x86_64)unitquantreg_0.0.6.tgz(r-4.4-arm64)unitquantreg_0.0.6.tgz(r-4.3-x86_64)unitquantreg_0.0.6.tgz(r-4.3-arm64)
unitquantreg_0.0.6.tar.gz(r-4.5-noble)unitquantreg_0.0.6.tar.gz(r-4.4-noble)
unitquantreg_0.0.6.tgz(r-4.4-emscripten)unitquantreg_0.0.6.tgz(r-4.3-emscripten)
unitquantreg.pdf |unitquantreg.html✨
unitquantreg/json (API)
NEWS
# Install 'unitquantreg' in R: |
install.packages('unitquantreg', repos = c('https://andrmenezes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andrmenezes/unitquantreg/issues
- bodyfat - Percentage of body fat data set
- sim_bounded - Simulated data set
- water - Access to piped water supply data set
Last updated 1 years agofrom:ede7bd6d3c. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win-x86_64 | OK | Nov 05 2024 |
R-4.5-linux-x86_64 | OK | Nov 05 2024 |
R-4.4-win-x86_64 | OK | Nov 05 2024 |
R-4.4-mac-x86_64 | OK | Nov 05 2024 |
R-4.4-mac-aarch64 | OK | Nov 05 2024 |
R-4.3-win-x86_64 | OK | Nov 05 2024 |
R-4.3-mac-x86_64 | OK | Nov 05 2024 |
R-4.3-mac-aarch64 | OK | Nov 05 2024 |
Exports:dashwdjohnsonsbdkumdleegdubsduburrxiiduchendughnedughnxdugompertzdugumbeldulogisticduweibullhnplikelihood_statspairwise.vuong.testpashwpjohnsonsbpkumpleegpubspuburrxiipuchenpughnepughnxpugompertzpugumbelpulogisticpuweibullqashwqjohnsonsbqkumqleegqubsquburrxiiquchenqughnequghnxqugompertzqugumbelqulogisticquweibullrashwrjohnsonsbrkumrleegrubsruburrxiiruchenrughnerughnxrugompertzrugumbelrulogisticruweibullunitquantregunitquantreg.controlunitquantreg.fitvuong.test
Dependencies:FormulalatticeMASSMatrixMatrixModelsnloptrnumDerivoptimxpracmaquantregRcppSparseMsurvival