Convergence Test for EM-Algorithm

Convergence Test for EM-Algorithm

Usage

em_converged(loglik, previous_loglik, tol = 1e-04, check.increased = FALSE)

Arguments

loglik

numeric. Current value of the log-likelihood function.

previous_loglik

numeric. Value of the log-likelihood function at the previous iteration.

tol

numerical. The tolerance of the test. If |LL(t) - LL(t-1)| / avg < tol, where avg = (|LL(t)| + |LL(t-1)|)/2, then algorithm has converged.

check.increased

logical. Check if likelihood has increased.

Value

A logical statement indicating whether EM algorithm has converged. if check.increased = TRUE, a vector with 2 elements indicating the convergence status and whether the likelihood has decreased.

Examples

em_converged(1001, 1000)
#> [1] FALSE
em_converged(10001, 10000)
#> [1] TRUE
em_converged(10001, 10000, check = TRUE)
#> converged  decrease 
#>      TRUE     FALSE 
em_converged(10000, 10001, check = TRUE)
#> converged  decrease 
#>      TRUE      TRUE