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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/>.
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.9) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | data.table (≥ 1.14.2), maxLik (≥ 1.5-2), ggplot2 (≥ 3.3.6), gridExtra (≥ 2.3), knitr, rmarkdown, testthat |
Published: | 2024-03-08 |
DOI: | 10.32614/CRAN.package.kimfilter |
Author: | Alex Hubbard [aut, cre] |
Maintainer: | Alex Hubbard <hubbard.alex at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | kimfilter results |
Reference manual: | kimfilter.pdf |
Vignettes: |
Kim Filter for State Space Models |
Package source: | kimfilter_1.0.3.tar.gz |
Windows binaries: | r-devel: kimfilter_1.0.3.zip, r-release: kimfilter_1.0.3.zip, r-oldrel: kimfilter_1.0.3.zip |
macOS binaries: | r-release (arm64): kimfilter_1.0.3.tgz, r-oldrel (arm64): kimfilter_1.0.3.tgz, r-release (x86_64): kimfilter_1.0.3.tgz, r-oldrel (x86_64): kimfilter_1.0.3.tgz |
Old sources: | kimfilter archive |
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These binaries (installable software) and packages are in development.
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