Package: rater 1.3.1.9000

rater: Statistical Models of Repeated Categorical Rating Data

Fit statistical models based on the Dawid-Skene model - Dawid and Skene (1979) <doi:10.2307/2346806> - to repeated categorical rating data. Full Bayesian inference for these models is supported through the Stan modelling language. 'rater' also allows the user to extract and plot key parameters of these models.

Authors:Jeffrey Pullin [aut, cre, cph], Damjan Vukcevic [aut], Lars Mølgaard Saxhaug [ctb]

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rater/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jeffreypullin/rater/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • anesthesia - Anaesthetist ratings for patient suitability for surgery
  • caries - Dentist ratings of whether caries are healthy or not based on X-rays

On CRAN:

annotationsbayesianbayesian-statisticsstan

5.84 score 18 stars 19 scripts 209 downloads 21 exports 53 dependencies

Last updated 1 years agofrom:60fbe70c02. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64NOTEOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:as_mcmc.listclass_conditional_dawid_skeneclass_probabilitiesdawid_skeneget_stanfithier_dawid_skenelooloo_comparemake_complete_rating_design_sim_datamake_thetamcmc_diagnosticspoint_estimateposterior_intervalposterior_predictposterior_samplesprior_summaryratersimulate_dawid_skene_modelsimulate_hier_dawid_skene_modelwaicwide_to_long

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Data formats

Rendered fromdata-formats.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2021-03-02
Started: 2021-03-02

Workflow

Rendered fromworkflow.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2020-08-12
Started: 2019-01-23

Readme and manuals

Help Manual

Help pageTopics
The 'rater' package.rater-package
Anaesthetist ratings for patient suitability for surgeryanesthesia
Convert a rater_fit object to a coda 'mcmc.list' object.as_mcmc.list
Dentist ratings of whether caries are healthy or not based on X-rayscaries
Extract latent class probabilities from a rater fit objectclass_probabilities class_probabilities.mcmc_fit class_probabilities.optim_fit
Get the underlying 'stanfit' object from a 'rater_fit' object.get_stanfit
Compute the PSIS LOO CV - a measure of model fit - of a rater fit object.loo loo.rater_fit
Produce simulation data from a 'complete' rating designmake_complete_rating_design_sim_data
Make a theta parametermake_theta
Retrieve MCMC convergence diagnostics for a rater fitmcmc_diagnostics
Probabilistic models of repeated categorical ratingclass_conditional_dawid_skene dawid_skene hier_dawid_skene models
Plot a 'rater_fit' objectplot.rater_fit
Extract point estimates of parameters from a fit objectpoint_estimate
Extract posterior intervals for parameters of the modelposterior_interval posterior_interval.mcmc_fit
Extract posterior intervals for parameters of the modelposterior_interval.optim_fit
Draw from the posterior predictive distributionposterior_predict posterior_predict.rater_fit
Extract posterior samples from a rater fit objectposterior_samples
Print a 'mcmc_fit' objectprint.mcmc_fit
Print a 'optim_fit' objectprint.optim_fit
Print a 'rater_model' object.print.rater_model
Provide a summary of the priors specified in a 'rater_fit' object.prior_summary prior_summary.rater_fit
Fit statistical models to repeated categorical rating data using Stanrater
Simulate data from the Dawid-Skene modelsimulate_dawid_skene_model
Simulate data from the hierarchical Dawid-Skene modelsimulate_hier_dawid_skene_model
Summarise a 'mcmc_fit' objectsummary.mcmc_fit
Summarise an 'optim_fit' objectsummary.optim_fit
Summarise a 'rater_model'.summary.rater_model
Compute the WAIC - a measure of model fit - of a rater fit object.waic waic.rater_fit
Convert wide data to the long formatwide_to_long