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bootStateSpace: Bootstrap for State Space Models

Provides a streamlined and user-friendly framework for bootstrapping in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: stats, simStateSpace, dynr
Suggests: knitr, rmarkdown, testthat
Published: 2025-01-22
DOI: 10.32614/CRAN.package.bootStateSpace
Author: Ivan Jacob Agaloos Pesigan ORCID iD [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab at gmail.com>
BugReports: https://github.com/jeksterslab/bootStateSpace/issues
License: GPL (≥ 3)
URL: https://github.com/jeksterslab/bootStateSpace, https://jeksterslab.github.io/bootStateSpace/
NeedsCompilation: no
Citation: bootStateSpace citation info
Materials: NEWS
CRAN checks: bootStateSpace results

Documentation:

Reference manual: bootStateSpace.pdf

Downloads:

Package source: bootStateSpace_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): bootStateSpace_1.0.1.tgz, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.