simulab: Simulates a Wide Variety of Data Shapes, Sizes and Distributions
Generates a wide variety of data, in different shapes, sample
sizes, distributions and parameters. The parameters are either drawn at
random or set in advance, and in both cases they are stored with the
data, so they are known and their recovery can be tested. Generators cover
declared variables with treatment assignment and missing values,
correlated and clustered data, latent profile, latent class, factor and
item response models, longitudinal and multilevel processes, survival
times with competing risks, sequences of states, and static, bipartite,
multiplex, temporal and transition networks. Every generator returns
batches of reproducible data sets for the evaluation of statistical
methods, the testing of models and software, and teaching; simulated
transition networks are native 'tna' models.
| Version: |
0.4.10 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, utils |
| Suggests: |
testthat (≥ 3.0.0), knitr, igraph (≥ 2.0.0), rmarkdown, simstudy, survival, tna (≥ 1.2.3) |
| Published: |
2026-10-15 |
| DOI: |
10.32614/CRAN.package.simulab (may not be active yet) |
| Author: |
Mohammed Saqr 
[aut, cre, cph],
Sonsoles López-Pernas
[aut, cph] |
| Maintainer: |
Mohammed Saqr <saqr at saqr.me> |
| BugReports: |
https://github.com/mohsaqr/simulab/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://pak.dynasite.org/simulab/,
https://github.com/mohsaqr/simulab |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
simulab citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
simulab results |
Documentation:
Downloads:
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