simStateSpace: Simulate Data from State Space Models

Provides a streamlined and user-friendly framework for simulating data 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: 1.2.2
Depends: R (≥ 3.0.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, expm
Published: 2024-06-21
DOI: 10.32614/CRAN.package.simStateSpace
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/simStateSpace/issues
License: GPL (≥ 3)
URL: https://github.com/jeksterslab/simStateSpace, https://jeksterslab.github.io/simStateSpace/
NeedsCompilation: yes
Citation: simStateSpace citation info
Materials: NEWS
CRAN checks: simStateSpace results

Documentation:

Reference manual: simStateSpace.pdf

Downloads:

Package source: simStateSpace_1.2.2.tar.gz
Windows binaries: r-devel: simStateSpace_1.2.2.zip, r-release: simStateSpace_1.2.2.zip, r-oldrel: simStateSpace_1.2.2.zip
macOS binaries: r-release (arm64): simStateSpace_1.2.2.tgz, r-oldrel (arm64): simStateSpace_1.2.2.tgz, r-release (x86_64): simStateSpace_1.2.2.tgz, r-oldrel (x86_64): simStateSpace_1.2.2.tgz
Old sources: simStateSpace archive

Reverse dependencies:

Reverse imports: cTMed

Linking:

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