Treatment rankings — bayes_ranking • metainsight

Generate treatment ranking data required to produce SUCRA plots from Bayesian models

Usage

bayes_ranking(model, configured_data, logger = NULL)

baseline_ranking(...)

covariate_ranking(...)

Arguments

model: list. Output produced by baseline_model(), bayes_model() or covariate_model().
configured_data: list. Input dataset created by setup_configure() or setup_exclude()
logger: Stores all notification messages to be displayed in the Log Window. Insert the logger reactive list here for running in shiny, otherwise leave the default NULL
...: Parameters passed to bayes_ranking()

Value

List of output created by rankdata()

SUCRA: Dataframe of SUCRA data
Colour: Dataframe of colours
Cumulative: Dataframe of cumulative ranking probabilities
Probabilities: Dataframe of ranking probabilities
Network: Dataframe of network characteristics

Examples

configured_data_path <- system.file("extdata", "configured_data.Rds", package = "metainsight")
configured_data <- readRDS(configured_data_path)

# n_adapt and n_iter are set low to run quickly, but should be left as the
# default values in real use

fitted_bayes_model <- bayes_model(configured_data = configured_data,
                                  n_adapt = 100,
                                  n_iter = 100)

ranking_data <- bayes_ranking(fitted_bayes_model, configured_data)