kalmanfilter-package | R Documentation |
'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" \Sexpr[results=rd]{tools:::Rd_expr_doi("10.7551/mitpress/6444.001.0001")}http://econ.korea.ac.kr/~cjkim/.
Maintainer: Alex Hubbard hubbard.alex@gmail.com
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