Skip to contents

Organizes mcmc output from run_likelihood()

Source: R/output_likelihood.R
output_likelihood.Rd

Output_likelihood() takes the jags_model_run produced by run_likelihood(), merges the mcmc chains and calculates the UPL as well as providing the predicted pdf and metrics.

Usage

output_likelihood(jags_model_run, significance = 0.99)

Arguments

jags_model_run

The output list returned from run_likelihood(), which includes the jags model run_results, likelihood distribution type, and data, xvals, and future_runs used as inputs to run_likelihood().

significance

Level of significance from 0 to 1, the default is 0.99.

Value

A list including distr, the distribution used in write_likelihood(), predicted_mean, the mean of the fitted distribution, UPL_Bayes, the upper predictive limit based on the significance level and average distribution of future_runs number of draws, obs_pdf, the predicted probability density at each observation, and pred_pdf, the predicted probability density at each point in xvals.