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ekf

(Iterated) Extended Kalman Filtering


Description

Function ekf runs the (iterated) extended Kalman filter for the given non-linear Gaussian model of class ssm_nlg, and returns the filtered estimates and one-step-ahead predictions of the states α_t given the data up to time t.

Usage

ekf(model, iekf_iter = 0)

Arguments

model

Model model

iekf_iter

If iekf_iter > 0, iterated extended Kalman filter is used with iekf_iter iterations.

Value

List containing the log-likelihood, one-step-ahead predictions at and filtered estimates att of states, and the corresponding variances Pt and Ptt.


bssm

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

v1.1.4
GPL (>= 2)
Authors
Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Initial release
2021-04-13

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