thinner: Thin iterations.

In rbacon: Age-Depth Modelling using Bayesian Statistics

Thin iterations.

Description

Randomly thin iterations by a given proportion, for example if autocorrelation is visible within the MCMC series.

Usage

thinner(proportion = 0.1, set = get("info"), write = TRUE, save.info = TRUE)

Arguments

proportion	Proportion of iterations to remove. Should be between 0 and 1. Default proportion=0.1.
set	Detailed information of the current run, stored within this session's memory as variable info.
write	Whether or not to write the changes to the output file. Defaults to TRUE.
save.info	By default, a variable called ‘info’ with relevant information about the run (e.g., core name, priors, settings, ages, output) is saved into the working directory. Note that this will overwrite any existing variable with the same name - as an alternative, one could run, e.g., myvar <- Bacon(), followed by supplying the variable myvar in any subsequent commands.

Details

From all iterations, a proportion is removed with to-be-removed iterations sampled randomly among all iterations.

Value

NA

Author(s)

Maarten Blaauw, J. Andres Christen

Examples

  Bacon(ask=FALSE, coredir=tempfile())
  nrow(info$output)
  thinner(.2)
  nrow(info$output)

rbacon documentation built on Sept. 30, 2024, 9:40 a.m.