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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:

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

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.