summary.nma_prior: Summary of prior distributions

In multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

Summary of prior distributions

Description

Print a summary of prior distribution details.

Usage

## S3 method for class 'nma_prior'
summary(object, ..., probs = c(0.5, 0.95), digits = 2, trunc = NULL)

Arguments

object	Prior distribution as a nma_prior object
...	Additional arguments, not used
probs	Numeric vector of probabilities to calculate prior intervals
digits	Number of digits to display
trunc	Optional numeric vector of length 2, giving the truncation limits of the prior distribution. Useful if a real-valued prior is assigned to a positive-valued parameter, then trunc = c(0, Inf) will give the correct prior intervals. By default, truncation is not used.

Value

A data frame is returned invisibly, giving the prior intervals

Examples

summary(normal(location = 0, scale = 1))
summary(half_normal(scale = 1))
summary(log_normal(location = -3.93, scale = 1.51))

# Truncation limits may be set, for example to restrict a prior to positive values
summary(normal(location = 0.5, scale = 1), trunc = c(0, Inf))

multinma documentation built on May 31, 2023, 5:46 p.m.