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.
This package was designed to generate data for the simulations
performed in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.
| Version: |
1.2.12 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, stats |
| LinkingTo: |
Rcpp (≥ 1.0.12), RcppArmadillo (≥ 15.0.2-2) |
| Suggests: |
knitr, rmarkdown, testthat, expm, dynr |
| Published: |
2025-10-10 |
| DOI: |
10.32614/CRAN.package.simStateSpace |
| Author: |
Ivan Jacob Agaloos Pesigan
 [aut, cre,
cph],
Michael A. Russell
[ctb],
Sy-Miin Chow
[ctb] |
| 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 |
| SystemRequirements: |
GNU GSL (>= 2.5) |
| Citation: |
simStateSpace citation info |
| Materials: |
NEWS |
| CRAN checks: |
simStateSpace results |
Documentation:
Downloads:
Reverse dependencies:
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