fit_optimization: Unified Optimization-based Estimation (MPS and MLE)

In dendrometry: Forest Estimations and Dendrometric Computations

Unified Optimization-based Estimation (MPS and MLE)

Description

Internal function that performs parameter estimation using optimization-based methods (Maximum Likelihood or Maximum Product Spacing).

Usage

fit_optimization(
  x,
  dist,
  method,
  start,
  lower,
  upper,
  optim_method,
  custom_functions,
  tol_spacing,
  tol_param,
  ties_method,
  ...
)

Arguments

x	numeric vector of sorted data.
dist	character string specifying the distribution.
method	character string: "mle" or "mps".
start	initial parameter values.
lower	lower bounds for parameters.
upper	upper bounds for parameters.
optim_method	optimization method for optim.
custom_functions	list of custom distribution functions.
tol_spacing	numeric tolerance for spacings/densities.
tol_param	numeric tolerance for parameter bounds.
ties_method	character string for ties correction method.
...	additional arguments for optim.

Value

A list containing parameter estimates, standard errors, objective value, log-likelihood, AIC, BIC, KS test results, and convergence information.

dendrometry documentation built on Nov. 5, 2025, 5:23 p.m.