simStateSpace

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).

https://github.com/jeksterslab/simstatespace

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.6%) to scientific vocabulary

Keywords

r r-package simulation state-space-model

Keywords from Contributors

centrality continuous-time delta-method mediation monte-carlo-method
Last synced: 9 months ago · JSON representation ·

Repository

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).

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 9
Topics
r r-package simulation state-space-model
Created over 2 years ago · Last pushed 9 months ago
Metadata Files
Readme Changelog License Citation

README.md

simStateSpace

Ivan Jacob Agaloos Pesigan

CRAN
Status R-Universe
Status Make
Project R-CMD-check R Package Test
Coverage Lint R
Package Package Website (GitHub
Pages) Compile
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Check pages-build-deployment codecov <!-- badges: end -->

Description

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: https://doi.org/10.1080/10705511003661553).

Installation

You can install the CRAN release of simStateSpace with:

r install.packages("simStateSpace")

You can install the development version of simStateSpace from GitHub with:

r if (!require("remotes")) install.packages("remotes") remotes::install_github("jeksterslab/simStateSpace")

More Information

See GitHub Pages for package documentation.

References

Chow, S.-M., Ho, M. R., Hamaker, E. L., & Dolan, C. V. (2010). Equivalence and differences between structural equation modeling and state-space modeling techniques. *Structural Equation Modeling: A Multidisciplinary Journal*, *17*(2), 303–332.
R Core Team. (2024). *R: A language and environment for statistical computing*. R Foundation for Statistical Computing.

Owner

  • Name: Ivan Jacob Agaloos Pesigan
  • Login: jeksterslab
  • Kind: user
  • Company: University of Macau

Citation (CITATION.cff)

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "simStateSpace" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'simStateSpace: Simulate Data from State Space Models'
version: 1.2.11
identifiers:
- type: doi
  value: 10.32614/CRAN.package.simStateSpace
abstract: 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) <https://doi.org/10.1080/10705511003661553>.
authors:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.jeksterslab@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420
preferred-citation:
  type: manual
  title: 'simStateSpace: Simulate Data from State Space Models'
  authors:
  - family-names: Pesigan
    given-names: Ivan Jacob Agaloos
    email: r.jeksterslab@gmail.com
    orcid: https://orcid.org/0000-0003-4818-8420
  year: '2024'
  notes: R package version 1.2.11
repository: https://CRAN.R-project.org/package=simStateSpace
repository-code: https://github.com/jeksterslab/simStateSpace
url: https://jeksterslab.github.io/simStateSpace/
contact:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.jeksterslab@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420
keywords:
- r
- r-package
- simulation
- state-space-model

GitHub Events

Total
  • Release event: 4
  • Push event: 276
  • Create event: 4
Last Year
  • Release event: 4
  • Push event: 276
  • Create event: 4

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 233
  • Total Committers: 3
  • Avg Commits per committer: 77.667
  • Development Distribution Score (DDS): 0.489
Past Year
  • Commits: 229
  • Committers: 3
  • Avg Commits per committer: 76.333
  • Development Distribution Score (DDS): 0.489
Top Committers
Name Email Commits
jeksterslab j****b 119
jeksterslab l****b@g****m 113
ijapesigan i****n@g****m 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 740 last-month
  • Total docker downloads: 1,473
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 10
  • Total maintainers: 1
cran.r-project.org: simStateSpace

Simulate Data from State Space Models

  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 740 Last month
  • Docker Downloads: 1,473
Rankings
Dependent packages count: 28.8%
Dependent repos count: 36.8%
Average: 50.7%
Downloads: 86.5%
Maintainers (1)
Last synced: 9 months ago

Dependencies

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DESCRIPTION cran
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