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. The parametric bootstrap implemented here was developed and applied in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: stats, simStateSpace, dynr
Suggests: knitr, rmarkdown, testthat
Published: 2025-10-09
DOI: 10.32614/CRAN.package.bootStateSpace
Author: Ivan Jacob Agaloos Pesigan ORCID iD [aut, cre, cph], Michael A. Russell ORCID iD [ctb], Sy-Miin Chow ORCID iD [ctb]
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
SystemRequirements: GNU GSL (>= 2.5)
Citation: bootStateSpace citation info
Materials: NEWS
CRAN checks: bootStateSpace results

Documentation:

Reference manual: bootStateSpace.html , bootStateSpace.pdf

Downloads:

Package source: bootStateSpace_1.0.3.tar.gz
Windows binaries: r-devel: bootStateSpace_1.0.2.zip, r-release: bootStateSpace_1.0.3.zip, r-oldrel: bootStateSpace_1.0.3.zip
macOS binaries: r-release (arm64): bootStateSpace_1.0.3.tgz, r-oldrel (arm64): bootStateSpace_1.0.3.tgz, r-release (x86_64): bootStateSpace_1.0.3.tgz, r-oldrel (x86_64): bootStateSpace_1.0.3.tgz
Old sources: bootStateSpace archive

Reverse dependencies:

Reverse suggests: cTMed

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bootStateSpace to link to this page.