Table Of Contents

Search

Enter search terms or a module, class or function name.

API

User

interface

get_example_model(model[, with_data])

Return parameters, options and data (optional) of an example model.

get_parameter_constraints(model)

Provide parameter constraints for the estimation compatible with estimagic.

solve

get_solve_func(params, options)

Get the solve function.

solve(params, options, state_space)

Solve the model.

simulate

get_simulate_func(params, options[, method, …])

Get the simulation function.

simulate(params, base_draws_sim, …)

Perform a simulation.

method_of_simulated_moments

get_msm_func(params, options, calc_moments, …)

Get the msm function.

msm(params, simulate, calc_moments, …)

Loss function for msm estimation.

likelihood

get_crit_func(params, options, df[, …])

Get the criterion function.

log_like(params, df, base_draws_est, solve, …)

Criterion function for the likelihood maximization.

Scroll To Top