Package: kimfilter 1.0.3

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/>.

Authors:Alex Hubbard [aut, cre]

kimfilter_1.0.3.tar.gz
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kimfilter.pdf |kimfilter.html
kimfilter/json (API)
NEWS

# Install 'kimfilter' in R:
install.packages('kimfilter', repos = c('https://hubbardalex.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • sw_dcf - Stock and Watson Markov Switching Dynamic Common Factor Data Set

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.23 score 2 dependencies 11 scripts 334 downloads

Last updated 6 months agofrom:19e07d8a6e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-win-x86_64OKSep 05 2024
R-4.5-linux-x86_64OKSep 05 2024
R-4.4-win-x86_64OKSep 05 2024
R-4.4-mac-x86_64OKSep 05 2024
R-4.4-mac-aarch64OKSep 05 2024
R-4.3-win-x86_64OKSep 05 2024
R-4.3-mac-x86_64OKSep 05 2024
R-4.3-mac-aarch64OKSep 05 2024

Exports:kim_filterss_prob

Dependencies:RcppRcppArmadillo

Kim Filter for State Space Models

Rendered fromkimfilter_vignette.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2022-09-14
Started: 2022-09-14