Randomly thin iterations by a given proportion, for example if autocorrelation is visible within the MCMC series.
plum.thinner(proportion = 0.1, set = get("info"))Proportion of iterations to remove. Should be between 0 and 1. Default proportion=0.1.
Detailed information of the current run, stored within this session's memory as variable info.
NA
From all iterations, a proportion is removed with to-be-removed iterations sampled randomly among all iterations.
Blaauw, M. and Christen, J.A., Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Anal. 6 (2011), no. 3, 457--474.