Package: plaqr 2.0
Adam Maidman
plaqr: Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive quantile regression. Intuitive functions for fitting and plotting partially linear additive quantile regression models. Uses and works with functions from the 'quantreg' package.
Authors:
plaqr_2.0.tar.gz
plaqr_2.0.tar.gz(r-4.5-noble)plaqr_2.0.tar.gz(r-4.4-noble)
plaqr_2.0.tgz(r-4.4-emscripten)plaqr_2.0.tgz(r-4.3-emscripten)
plaqr.pdf |plaqr.html✨
plaqr/json (API)
| # Install 'plaqr' in R: |
| install.packages('plaqr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simData - Simulated Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:5a81423644. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-linux | OK | Nov 07 2024 |
Exports:bicnonlinEffectplaqrpredictIntthresholdtrans_parametertransform_plaqr
Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| BIC for the Partially Linear Additive Quantile Regression Model | bic |
| Nonlinear Effects Plots | nonlinEffect |
| Partially Linear Additive Quantile Regression | plaqr |
| Nonlinear Effect Plot for a Partially Linear Additive Quantile Regression Model | plot.plaqreffect |
| Prediction Inteval for Quantile Regression | predictInt |
| Print a plaqreffect object | print.plaqreffect |
| Print a thresh Object | print.thresh |
| Simulated Data | simData |
| Classifying a Numerical Response Using a Threshold | threshold |
| Transformation of the Response Variable | trans_parameter |
| Transformation for Partially Linear Additive Quantile Regression | transform_plaqr |