sensitivity: Sensitivity

In ArchaeoPhases: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling

Sensitivity

Description

Calculates the ranges of summary statistics from the output of two or more runs of the MCMC algorithm.

Usage

sensitivity(...)

## S4 method for signature 'EventsMCMC'
sensitivity(..., positions = NULL, level = 0.95)

Arguments

...	Any EventsMCMC object.
positions	A numeric vector specifying the positions of the columns corresponding to the MCMC chains of interest, or a character vector of column names.
level	A length-one numeric vector giving the confidence level.

Details

This function is useful for estimating the sensitivity of calibration results to different model parameters.

Value

A data.frame.

Author(s)

T. S. Dye, N. Frerebeau

See Also

summary()

Other statistics: interval_credible(), interval_hdr(), summary()

Examples

## Coerce to MCMC
eve <- as_events(mcmc_events, calendar = CE(), iteration = 1)

## Returns 0's
sensitivity(eve, eve)

ArchaeoPhases documentation built on June 22, 2024, 9:24 a.m.