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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.

Versions across snapshots

VersionRepositoryFileSize
0.4.3 rolling linux/jammy R-4.5 Nestimate_0.4.3.tar.gz 2.3 MiB
0.4.3 rolling linux/noble R-4.5 Nestimate_0.4.3.tar.gz 2.3 MiB
0.4.3 rolling source/ R- Nestimate_0.4.3.tar.gz 1.5 MiB
0.4.3 latest linux/jammy R-4.5 Nestimate_0.4.3.tar.gz 2.3 MiB
0.4.3 latest linux/noble R-4.5 Nestimate_0.4.3.tar.gz 2.3 MiB
0.4.3 latest source/ R- Nestimate_0.4.3.tar.gz 1.5 MiB
0.4.3 2026-04-26 source/ R- Nestimate_0.4.3.tar.gz 1.5 MiB
0.4.3 2026-04-23 source/ R- Nestimate_0.4.3.tar.gz 1.5 MiB
0.3.0 2026-04-09 windows/windows R-4.5 Nestimate_0.3.0.zip 2.9 MiB

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