Bayesian Inference of Non-Linear and Non-Gaussian State Space Models

ar1_lg | Univariate Gaussian model with AR(1) latent process |

ar1_ng | Non-Gaussian model with AR(1) latent process |

as_bssm | Convert KFAS Model to bssm Model |

as.data.frame.mcmc_output | Convert MCMC Output to data.frame |

as_draws-mcmc_output | Convert 'run_mcmc' Output to 'draws_df' Format |

asymptotic_var | Asymptotic Variance of IS-type Estimators |

bootstrap_filter | Bootstrap Filtering |

bsm_lg | Basic Structural (Time Series) Model |

bsm_ng | Non-Gaussian Basic Structural (Time Series) Model |

bssm | Bayesian Inference of State Space Models |

bssm_prior | Prior objects for bssm models |

check_diagnostics | Quick Diagnostics Checks for 'run_mcmc' Output |

cpp_example_model | Example C++ Codes for Non-Linear and SDE Models |

drownings | Deaths by drowning in Finland in 1969-2019 |

ekf | (Iterated) Extended Kalman Filtering |

ekf_smoother | Extended Kalman Smoothing |

ekpf_filter | Extended Kalman Particle Filtering |

estimate_ess | Effective Sample Size for IS-type Estimators |

exchange | Pound/Dollar daily exchange rates |

expand_sample | Expand the Jump Chain representation |

fitted.mcmc_output | Fitted for State Space Model |

gaussian_approx | Gaussian Approximation of Non-Gaussian/Non-linear State Space... |

iact | Integrated Autocorrelation Time |

importance_sample | Importance Sampling from non-Gaussian State Space Model |

kfilter | Kalman Filtering |

logLik_bssm | Extract Log-likelihood of a State Space Model of class... |

negbin_model | Estimated Negative Binomial Model of Helske and Vihola (2021) |

negbin_series | Simulated Negative Binomial Time Series Data |

particle_smoother | Particle Smoothing |

plot.mcmc_output | Trace and Density Plots for 'mcmc_output' |

poisson_series | Simulated Poisson Time Series Data |

post_correct | Run Post-correction for Approximate MCMC using psi-APF |

predict.mcmc_output | Predictions for State Space Models |

print.mcmc_output | Print Results from MCMC Run |

run_mcmc | Bayesian Inference of State Space Models |

sim_smoother | Simulation Smoothing |

smoother | Kalman Smoothing |

ssm_mlg | General multivariate linear Gaussian state space models |

ssm_mng | General Non-Gaussian State Space Model |

ssm_nlg | General multivariate nonlinear Gaussian state space models |

ssm_sde | Univariate state space model with continuous SDE dynamics |

ssm_ulg | General univariate linear-Gaussian state space models |

ssm_ung | General univariate non-Gaussian state space model |

suggest_N | Suggest Number of Particles for psi-APF Post-correction |

summary.mcmc_output | Summary Statistics of Posterior Samples |

svm | Stochastic Volatility Model |

ukf | Unscented Kalman Filtering |

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