Package: betareg 3.2-1
betareg: Beta Regression
Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
Authors:
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betareg.pdf |betareg.html✨
betareg/json (API)
NEWS
# Install 'betareg' in R: |
install.packages('betareg', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/betareg
- CarTask - Partition-Primed Probability Judgement Task for Car Dealership
- FoodExpenditure - Proportion of Household Income Spent on Food
- GasolineYield - Estimation of Gasoline Yields from Crude Oil
- ImpreciseTask - Imprecise Probabilities for Sunday Weather and Boeing Stock Task
- LossAversion - (No) Myopic Loss Aversion in Adolescents
- MockJurors - Confidence of Mock Jurors in Their Verdicts
- ReadingSkills - Dyslexia and IQ Predicting Reading Accuracy
- StressAnxiety - Dependency of Anxiety on Stress
- WeatherTask - Weather Task with Priming and Precise and Imprecise Probabilities
Last updated 1 months agofrom:f167098e6d. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-win-x86_64 | OK | Oct 12 2024 |
R-4.5-linux-x86_64 | OK | Oct 12 2024 |
R-4.4-win-x86_64 | OK | Oct 12 2024 |
R-4.4-mac-x86_64 | OK | Oct 12 2024 |
R-4.4-mac-aarch64 | OK | Oct 12 2024 |
R-4.3-win-x86_64 | OK | Oct 12 2024 |
R-4.3-mac-x86_64 | OK | Oct 12 2024 |
R-4.3-mac-aarch64 | OK | Oct 12 2024 |
Exports:Beta01Beta4betamixBetaRbetaregbetareg.controlbetareg.fitbetatreeclustersdbeta01dbeta4dbetardxbetadxbetaxextraComponentfittedgleveragepbeta01pbeta4pbetarposteriorpredictpxbetapxbetaxqbeta01qbeta4qbetarqxbetaqxbetaxrbeta01rbeta4rbetarrxbetarxbetaxXBetaXBetaX
Dependencies:flexmixFormulalatticelmtestmodeltoolsnnetsandwichzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The Zero- and/or One-Inflated Beta Distribution in Regression Parameterization | dbeta01 pbeta01 qbeta01 rbeta01 |
Create a Zero- and/or One-Inflated Beta Distribution | Beta01 cdf.Beta01 is_continuous.Beta01 is_discrete.Beta01 kurtosis.Beta01 log_pdf.Beta01 mean.Beta01 pdf.Beta01 quantile.Beta01 random.Beta01 skewness.Beta01 support.Beta01 variance.Beta01 |
The 4-Parameter Beta Distribution in Regression Parameterization | dbeta4 pbeta4 qbeta4 rbeta4 |
Create a 4-Parameter Beta Distribution | Beta4 cdf.Beta4 is_continuous.Beta4 is_discrete.Beta4 kurtosis.Beta4 log_pdf.Beta4 mean.Beta4 pdf.Beta4 quantile.Beta4 random.Beta4 skewness.Beta4 support.Beta4 variance.Beta4 |
Finite Mixtures of Beta Regression for Rates and Proportions | betamix clusters,betamix,ANY-method extraComponent fitted,betamix-method fitted,FLXMRbeta-method posterior,betamix,ANY-method predict,betamix-method predict,FLXMRbeta-method predict,FLXMRbetafix-method |
The Beta Distribution in Regression Parameterization | dbetar pbetar qbetar rbetar |
Create a Beta Regression Distribution | BetaR cdf.BetaR is_continuous.BetaR is_discrete.BetaR kurtosis.BetaR log_pdf.BetaR mean.BetaR pdf.BetaR quantile.BetaR random.BetaR skewness.BetaR support.BetaR variance.BetaR |
Beta Regression for Rates and Proportions | betareg betareg.fit |
Control Parameters for Beta Regression | betareg.control |
Beta Regression Trees | betatree plot.betatree predict.betatree print.betatree sctest.betatree |
Partition-Primed Probability Judgement Task for Car Dealership | CarTask |
Proportion of Household Income Spent on Food | FoodExpenditure |
Estimation of Gasoline Yields from Crude Oil | GasolineYield |
Generalized Leverage Values | gleverage gleverage.betareg |
Imprecise Probabilities for Sunday Weather and Boeing Stock Task | ImpreciseTask |
(No) Myopic Loss Aversion in Adolescents | LossAversion |
Confidence of Mock Jurors in Their Verdicts | MockJurors |
Diagnostic Plots for betareg Objects | plot.betareg |
Prediction Method for betareg Objects | pit.betareg predict.betareg rootogram.betareg |
Dyslexia and IQ Predicting Reading Accuracy | ReadingSkills |
Residuals Method for betareg Objects | residuals.betareg |
Dependency of Anxiety on Stress | StressAnxiety |
Methods for betareg Objects | bread.betareg coef.betareg coeftest.betareg cooks.distance.betareg estfun.betareg hatvalues.betareg logLik.betareg model.frame.betareg model.matrix.betareg print.betareg print.summary.betareg summary.betareg terms.betareg vcov.betareg |
Weather Task with Priming and Precise and Imprecise Probabilities | WeatherTask |
The Extended-Support Beta Distribution | dxbeta pxbeta qxbeta rxbeta |
Create an Extended-Support Beta Distribution | cdf.XBeta is_continuous.XBeta is_discrete.XBeta kurtosis.XBeta log_pdf.XBeta mean.XBeta pdf.XBeta quantile.XBeta random.XBeta skewness.XBeta support.XBeta variance.XBeta XBeta |
The Extended-Support Beta Mixture Distribution | dxbetax pxbetax qxbetax rxbetax |
Create an Extended-Support Beta Mixture Distribution | cdf.XBetaX is_continuous.XBetaX is_discrete.XBetaX kurtosis.XBetaX log_pdf.XBetaX mean.XBetaX pdf.XBetaX quantile.XBetaX random.XBetaX skewness.XBetaX support.XBetaX variance.XBetaX XBetaX |