Package: robustbetareg 0.3.0
robustbetareg: Robust Beta Regression
Robust estimators for the beta regression, useful for modeling bounded continuous data. Currently, four types of robust estimators are supported. They depend on a tuning constant which may be fixed or selected by a data-driven algorithm also implemented in the package. Diagnostic tools associated with the fitted model, such as the residuals and goodness-of-fit statistics, are implemented. Robust Wald-type tests are available. More details about robust beta regression are described in Maluf et al. (2022) <arxiv:2209.11315>.
Authors:
robustbetareg_0.3.0.tar.gz
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robustbetareg.pdf |robustbetareg.html✨
robustbetareg/json (API)
# Install 'robustbetareg' in R: |
install.packages('robustbetareg', repos = c('https://ffqueiroz.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 2 years agofrom:4fe9bf1d4e. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 09 2024 |
R-4.5-win | NOTE | Oct 09 2024 |
R-4.5-linux | NOTE | Oct 09 2024 |
R-4.4-win | OK | Oct 09 2024 |
R-4.4-mac | OK | Oct 09 2024 |
R-4.3-win | OK | Oct 09 2024 |
R-4.3-mac | OK | Oct 09 2024 |
Exports:dEGBpEGBplotenvelopepredictqEGBrEGBresidualsrobustbetaregrobustbetareg.controlset.linkwaldtypetest
Dependencies:backportsBBmiscbetaregcheckmatecrayondata.tableDEoptimRdigestflexmixFormulagmplatticelmtestMASSMatrixmiscToolsmodeltoolsnnetnumDerivpracmaRmpfrrobustbaserstudioapisandwichzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The Exponential Generalized Beta of the Second Type Distribution | dEGB EGB pEGB qEGB rEGB |
Firm Cost | Firm |
Health Insurance Coverage | HIC |
Methods for robustbetareg Objects | coef.robustbetareg methodsrobustbetareg print.summary.robustbetareg summary.robustbetareg |
Diagnostic Plots for robustbetareg Objects | plot.robustbetareg |
Normal Probability Plots of Residuals with Simulated Envelope for robustbetareg Objects | plotenvelope |
Prediction Methods for robustbetareg Objects Class | predict |
Residuals Method for robustbetareg Objects | .robustbetareg residuals residuals.robustbetareg |
Robust Beta Regression | LMDPDE.fit LSMLE.fit MDPDE.fit robustbetareg SMLE.fit |
Auxiliary for Controlling robustbetareg Fitting | robustbetareg.control |
Link functions for robust beta regression | set.link |
Robust Wald-type Tests | waldtypetest |