Function reference • numerical.mle

All functions

is_converged(): is_converged

is_mle_numerical(): is_mle_numerical

mle_gradient_ascent(): mle_gradient_ascent

mle_grid_search(): mle_grid_search

mle_local_search(): mle_local_search

mle_newton_raphson(): mle_newton_raphson

mle_numerical(): mle_numerical

mle_optim(): mle_optim

mle_random_restart(): mle_random_restart

mle_random_search(): mle_random_search

mle_sim_anneal(): mle_sim_anneal

mle_solve(): mle_solve

num_iterations(): num_iterations

numerical.mle: `numerical.mle`: A package for numerically solving maximum likelihood estimators from log-likelihood functions.

penalize_loglike(): loglikelihood constructor penalizes

sim_anneal(): sim_anneal

stochastic_loglike(): stochastic loglikelihood constructor good for large datasets. if applied to a gradient ascent method, this will perform stochastic gradient ascent.

subdivide_region(): subdivide_region