Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis
Estimate, compare, and analyze dynamic and psychological networks
using a unified interface. Provides transition network analysis
estimation (transition, frequency, co-occurrence, attention-weighted)
Saqr et al. (2025) <doi:10.1145/3706468.3706513>, psychological
network methods (correlation, partial correlation, 'graphical lasso',
'Ising') Saqr, Beck, and Lopez-Pernas (2024)
<doi:10.1007/978-3-031-54464-4_19>,
and higher-order network methods including higher-order networks,
higher-order network embedding, hyper-path anomaly, and multi-order
generative model. Supports bootstrap inference, permutation testing,
split-half reliability, centrality stability analysis, mixed Markov
models, multi-cluster multi-layer networks and clustering.
| Version: |
0.3.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
ggplot2, glasso, data.table, cluster |
| Suggests: |
testthat (≥ 3.0.0), tna, cograph, igraph, glmnet, lavaan, stringdist, nnet, IsingFit, bootnet, gimme, qgraph, reticulate, gridExtra, knitr, rmarkdown, pkgdown |
| Published: |
2026-04-08 |
| DOI: |
10.32614/CRAN.package.Nestimate (may not be active yet) |
| Author: |
Mohammed Saqr [aut, cre, cph],
Sonsoles López-Pernas [aut] |
| Maintainer: |
Mohammed Saqr <saqr at saqr.me> |
| BugReports: |
https://github.com/mohsaqr/Nestimate/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mohsaqr/Nestimate |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
Nestimate results |
Documentation:
Downloads:
Reverse dependencies:
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