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Nestimate  

Network Estimation, Bootstrap, and Higher-Order Analysis
View on CRAN: Click here


Download and install Nestimate package within the R console
Install from CRAN:
install.packages("Nestimate")

Install from Github:
library("remotes")
install_github("cran/Nestimate")

Install by package version:
library("remotes")
install_version("Nestimate", "0.3.0")



Attach the package and use:
library("Nestimate")
Maintained by
Mohammed Saqr
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-08
Latest Update: 2026-04-08
Description:
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.
How to cite:
Mohammed Saqr (2026). Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/Nestimate. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.3.0 (2026-04-08 16:20), 0.4.3 (2026-04-20 16:40)
Other packages that cited Nestimate R package
View Nestimate citation profile
Other R packages that Nestimate depends, imports, suggests or enhances
Complete documentation for Nestimate
Functions, R codes and Examples using the Nestimate R package
Full Nestimate package functions and examples
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