Package: wex 0.1.1

wex: Exact Observation Weights for the Kalman Filter and Smoother

Computes exact observation weights for the Kalman filter and smoother, following Koopman and Harvey (2003) <www.sciencedirect.com/science/article/pii/S0165188902000611>. The package provides tools for analyzing linear Gaussian state-space models, allowing users to quantify the contribution of individual observations to filtered and smoothed state estimates. These weights can be used for interpretation, decomposition, and diagnostic analysis in time series models, including applications such as dynamic factor models. See the README for examples.

Authors:Tim Ginker [aut, cre, cph]

wex_0.1.1.tar.gz
wex_0.1.1.zip(r-4.7)wex_0.1.1.zip(r-4.6)wex_0.1.1.zip(r-4.5)
wex_0.1.1.tgz(r-4.6-any)wex_0.1.1.tgz(r-4.5-any)
wex_0.1.1.tar.gz(r-4.7-any)wex_0.1.1.tar.gz(r-4.6-any)
wex_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
wex/json (API)

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

Bug tracker:https://github.com/timginker/wex/issues

Datasets:
  • indicators - Sample Data with 10 Economic Indicators

On CRAN:

Conda:

kalman-filterkalman-filteringtime-series-analysis

4.13 score 3 stars 1 packages 1 scripts 572 downloads 1 exports 2 dependencies

Last updated from:ce2a2773b5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK140
linux-release-x86_64OK97
macos-release-arm64OK194
macos-oldrel-arm64OK152
windows-develOK65
windows-releaseOK71
windows-oldrelOK56
wasm-releaseOK91

Exports:wex

Dependencies:FKFKFAS