process_results: Helper function for processing results

In BayesDissolution: Bayesian Models for Dissolution Testing

Helper function for processing results

Description

This function helps process the final results for the different f2 functions (e.g., f2bayes).

Usage

process_results(
  name,
  f2.dist,
  ci.type = c("quantile", "HPD"),
  level,
  get.dist = FALSE
)

Arguments

name	A character string denoting the type of method used to calculate the interval.
f2.dist	A vector of samples for the F2 parameter or f2 statistic.
ci.type	The type of confidence, or credible, interval to return. The option quantile returns sample quantile based intervals, while the option HPD returns intervals based on highest density regions.
level	The confidence level or probability associated with the confidence or credible interval, respectively. Must be a value between 0 and 1.
get.dist	logical; if TRUE, returns the samples of the distribution.

Value

The function returns a data object of class dis_data.

Examples

### dis_data comes loaded with the package
out1 <- f2bayes(dis_data, prob = 0.9, B = 1000, get.dist = TRUE)

out2 <- process_results("bayes", out1$f2.dist, level = 0.9)

### out1 and out2 should contain the results for the info and intervals

BayesDissolution documentation built on May 29, 2024, 1:25 a.m.