{"name":"R-betareg","portdir":"R/R-betareg","version":"3.2-1","license":"(GPL-2 or GPL-3)","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=betareg","description":"Testing linear regression models","long_description":"Beta regression for modeling beta-distributed dependent variables, e.g. rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for Beta regressions are provided.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-19","R"]},{"type":"lib","ports":["R-Formula","R-flexmix","R-lmtest","R-CRAN-recommended","R-modeltools","R-sandwich"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-numDeriv","R-statmod","R-knitr","R-car","R-strucchange","R-distributions3","R-partykit"]}],"depends_on":[{"type":"lib","ports":["R-betaBayes","R-robustbetareg","R-mfx","R-BetaPASS","R-SetMethods"]},{"type":"test","ports":["R-performance","R-ZIBR","R-bayestestR","R-bbreg","R-enrichwith","R-brmsmargins","R-broom","R-dominanceanalysis","R-effects","R-ggstats","R-margins","R-mi","R-DeclareDesign","R-prediction","R-rstanarm","R-glmertree","R-AICcmodavg","R-texreg","R-ggeffects","R-modelsummary","R-insight","R-MuMIn"]}]}