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'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 |
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| Author | Alex Hubbard [aut, cre] |
| Maintainer | Alex Hubbard <hubbard.alex@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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