Package: qrjoint 2.0-9
Surya Tokdar
qrjoint: Joint Estimation in Linear Quantile Regression
Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Authors:
qrjoint_2.0-9.tar.gz
qrjoint_2.0-9.tar.gz(r-4.5-noble)qrjoint_2.0-9.tar.gz(r-4.4-noble)
qrjoint_2.0-9.tgz(r-4.4-emscripten)qrjoint_2.0-9.tgz(r-4.3-emscripten)
qrjoint.pdf |qrjoint.html✨
qrjoint/json (API)
# Install 'qrjoint' in R: |
install.packages('qrjoint', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:9f36a9f9b7. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 12 2024 |
Exports:chull.centergetBandsqdeqrjointwaic
Dependencies:codakernlablatticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fast Interior Point Center of Multivariate Data | chull.center |
Coefficient Extraction from qde Model Fit | coef.qde |
Regression Coefficient Extraction from qrjoint Model Fit | coef.qrjoint |
Posterior Credible Bands | getBands |
Plasma Concentration of Beta-Carotene and Retinol | plasma |
Posterior predictive summary for quantile-based density estimation | predict.qde |
Posterior predictive summary for quantile estimation | predict.qrjoint |
Quantiles based Density Estimation | qde update.qde |
Joint Estimation of Linear Quantile Planes | qrjoint update.qrjoint |
Basal Areas of Red Maple Trees | redmaple |
Summary Method for Quantile based Density Estimation | summary.qde |
Summary Method for qrjoint Model Fit | summary.qrjoint |
Watanabe Information Criterion | waic |