earlyStopping: cAIC-based stopping criteria

In FAUBZhang/BayesBoost: Bayesian Boosting for Linear Mixed Models

Description

Determine the stopping iteration of cAICs based on the existence of lower values in the following "patience" iterations.

Usage

earlyStopping(cAIC, pat = 3, min_iters = 20)

Arguments

cAIC	a serices of cAICs.
pat	patient paramter, default is 3.
min_iters	the least number of boosting iterations the algorithm should perform, default is 20. The actual minimum is combined with pat parameter, i.e., "min_iters + pat".

FAUBZhang/BayesBoost documentation built on Dec. 17, 2021, 7:30 p.m.