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kalmanfilter (version 2.1.1)

Kalman Filter

Description

'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" .

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Version

Install

install.packages('kalmanfilter')

Monthly Downloads

460

Version

2.1.1

License

GPL (>= 2)

Maintainer

Alex Hubbard

Last Published

March 8th, 2024

Functions in kalmanfilter (2.1.1)

Rginv

R's implementation of the Moore-Penrose pseudo matrix inverse
treasuries

Treasuries
kalman_filter

Kalman Filter
contains

Check if list contains a name
gen_inv

Generalized matrix inverse
kalman_filter_cpp

Kalman Filter
sw_dcf

Stock and Watson Dynamic Common Factor Data Set
kalmanfilter-package

kalmanfilter: Kalman Filter