CRAN/E | kalmanfilter

kalmanfilter

Kalman Filter

Installation

About

'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" doi:10.7551/mitpress/6444.001.0001.

Key Metrics

Version 2.1.1
R ≥ 3.5.0
Published 2024-03-08 53 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Alex Hubbard

hubbard.alex@gmail.com

Authors

Alex Hubbard

aut / cre

Material

NEWS
Reference manual
Package source

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Kalman Filter for State Space Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

kalmanfilter archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.9

Suggests

data.table ≥ 1.14.2
maxLik ≥ 1.5-2
ggplot2 ≥3.3.6
gridExtra ≥ 2.3
knitr
rmarkdown
testthat

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

autostsm