model_covariance() for unconditional covariance and
correlation matrices of model observables and controls.prediction_interval() for one-step-ahead prediction
bands using Kalman filter innovation variance.prediction_accuracy() for RMSE, MAE, and mean bias
statistics.fitted() method for ML-estimated models.robust_vcov() for sandwich (Huber-White)
variance-covariance estimation. Provides standard errors robust to model
misspecification.posterior_predictive() for posterior predictive
checks with variance and autocorrelation statistics.marginal_likelihood() via modified harmonic mean
estimator for Bayesian model comparison.geweke_test() for Geweke (1992) convergence
diagnostic.mcmc_diagnostics() for comprehensive MCMC health
summary.simulate_occbin() for piecewise-linear simulation
under inequality constraints (e.g., zero lower bound).obc_constraint() helper for constraint
specification.solve_dsge() now accepts order = 2 for
second-order approximation of nonlinear models.simulate_2nd_order() for pruned second-order
simulation.irf_2nd_order() for generalised impulse-response
functions with asymmetric shock effects.perfect_foresight() for deterministic simulation of
transition paths after temporary or permanent shocks.check_identification() for local identification
diagnostics via Jacobian SVD of the autocovariance mapping.parameter_sensitivity() for sensitivity of
likelihood, IRFs, steady state, and policy matrices to parameter
perturbations.prior_posterior_update() for Bayesian
informativeness diagnostics comparing posterior concentration to prior
width.smooth_states() for Rauch-Tung-Striebel Kalman
smoothing.smooth_shocks() for extraction of smoothed
structural shocks.shock_decomposition() for historical decomposition
of observed variables into individual shock contributions.bayes_dsge() now accepts dsgenl_model
objects for Bayesian estimation of nonlinear DSGE models via first-order
perturbation.irf() interface.bayes_dsge() function for Bayesian estimation of
linear DSGE models via adaptive Random-Walk Metropolis-Hastings
(RWMH).prior() constructor for specifying prior
distributions: normal, beta,
gamma, uniform, and
inv_gamma.irf() with
pointwise credible bands computed from posterior draws.dsgenl_model() constructor for nonlinear DSGE
models defined via string-based equations with VAR(+1) lead
notation.steady_state() generic for computing the deterministic
steady state via Newton-Raphson with damped line search.linearize() computes first-order Taylor expansion
around steady state.solve_dsge() and estimate() now accept
dsgenl_model objects.Initial release.