Create optimization configuration

Creates a base configuration object for MLE optimization algorithms. This object stores convergence criteria and debugging options.

Usage

mle_config(
  max_iter = 100L,
  abs_tol = NULL,
  rel_tol = 1e-05,
  trace = FALSE,
  debug = FALSE,
  debug_freq = 1L
)

Arguments

max_iter

Maximum iterations (integer, default: 100)

abs_tol

Absolute tolerance (numeric or NULL, default: NULL to use rel_tol)

rel_tol

Relative tolerance (numeric, default: 1e-5)

trace

Store optimization path (logical, default: FALSE)

debug

Print debug information (logical, default: FALSE)

debug_freq

Debug output frequency (integer, default: 1)

Value

An mle_config object

Examples

# Basic configuration
config <- mle_config(max_iter = 200, rel_tol = 1e-6)

# Configuration with tracing
config <- mle_config(trace = TRUE, debug = TRUE)