Package: ordbetareg 0.7.3.1

ordbetareg: Ordered Beta Regression Models with 'brms'

Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2023) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.

Authors:Robert Kubinec [aut, cre]

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NEWS

# Install 'ordbetareg' in R:
install.packages('ordbetareg', repos = c('https://saudiwin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/saudiwin/ordbetareg_pack/issues

Datasets:

On CRAN:

6.69 score 19 stars 34 scripts 1.3k downloads 6 exports 77 dependencies

Last updated 2 months agofrom:d7c42ca419. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winWARNINGNov 02 2024
R-4.5-linuxWARNINGNov 02 2024
R-4.4-winWARNINGNov 02 2024
R-4.4-macWARNINGNov 02 2024
R-4.3-winWARNINGNov 02 2024
R-4.3-macWARNINGNov 02 2024

Exports:dordbetanormalizeordbetaregpp_check_ordbetarordbetasim_ordbeta

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscolorspacecpp11descdigestdistributionaldplyrfansifarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Introduction to ordbetareg

Rendered frompackage_introduction.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-05-13
Started: 2022-01-24