kimfilter: Kim Filter

'Rcpp' implementation of the multivariate Kim filter, which combines the Kalman and Hamilton filters for state probability inference. The filter is designed for state space models and can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.

Package details

AuthorAlex Hubbard [aut, cre]
MaintainerAlex Hubbard <hubbard.alex@gmail.com>
LicenseGPL (>= 2)
Version1.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kimfilter")

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kimfilter documentation built on May 29, 2024, 9:57 a.m.