Package: ordbetareg 0.8
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:
ordbetareg_0.8.tar.gz
ordbetareg_0.8.zip(r-4.7)ordbetareg_0.8.zip(r-4.6)ordbetareg_0.8.zip(r-4.5)
ordbetareg_0.8.tgz(r-4.6-any)ordbetareg_0.8.tgz(r-4.5-any)
ordbetareg_0.8.tar.gz(r-4.7-any)ordbetareg_0.8.tar.gz(r-4.6-any)
ordbetareg_0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ordbetareg/json (API)
NEWS
| # Install 'ordbetareg' in R: |
| install.packages('ordbetareg', repos = c('https://staffanbetner.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/saudiwin/ordbetareg_pack/issues
- fit_multivariate - Fitted Ordered Beta Regression Model
- ord_fit_mean - Fitted Ordered Beta Regression Model
- ord_fit_phi - Fitted Ordered Beta Regression Model
- pew - Pew American Trends Panel Wave 28
- sim_data - Simulated Ordered Beta Regression Values
Last updated from:b4b9d64550. Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 283 | ||
| source / vignettes | OK | 372 | ||
| linux-release-x86_64 | OK | 268 | ||
| macos-release-arm64 | OK | 242 | ||
| macos-oldrel-arm64 | OK | 271 | ||
| windows-devel | OK | 394 | ||
| windows-release | OK | 265 | ||
| windows-oldrel | OK | 233 | ||
| wasm-release | OK | 191 |
Exports:dordbetanormalizeordbetaregplot_hkposterior_epred_ordbetapp_check_ordbetarordbetasim_ordbeta
Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineinsightisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probability Density Function for the Ordered Beta Distribution | dordbeta |
| Fitted Ordered Beta Regression Model (Multivariate regression) | fit_multivariate |
| Normalize Outcome/Response to \[0,1\] Interval | normalize |
| Fitted Ordered Beta Regression Model | ord_fit_mean |
| Fitted Ordered Beta Regression Model (Phi Regression) | ord_fit_phi |
| Fit Ordered Beta Regression Model | ordbetareg |
| Pew American Trends Panel Wave 28 | pew |
| Heiss-Kurz Plot for Predicted Proportions of Bounded Scale Components | plot_hk |
| Calculate Probability of Response Components | posterior_epred_ordbeta posterior_epred_ordbeta.brmsfit |
| Accurate Posterior Predictive Plots for Ordbetareg Models | pp_check_ordbeta |
| Generate Ordered Beta Variates | rordbeta |
| Simulated Ordered Beta Regression Values | sim_data |
| Power Calculation via Simulation of the Ordered Beta Regression Model | sim_ordbeta |
