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:	0.4.3
Depends:	R (≥ 4.1.0)
Imports:	ggplot2, glasso, data.table, cluster, scales
Suggests:	testthat (≥ 3.0.0), markovchain, tna, cograph, igraph, glmnet, lavaan, stringdist, nnet, IsingFit, bootnet, gimme, qgraph, reticulate, gridExtra, lme4, corpcor, mlVAR, mgm, Matrix, NetworkComparisonTest, arules, jsonlite, knitr, rmarkdown, pkgdown
Published:	2026-04-20
DOI:	10.32614/CRAN.package.Nestimate
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:

Reference manual:	Nestimate.html , Nestimate.pdf
Vignettes:	Sequence Clustering (source, R code) Markov Stability Analysis (source, R code) Sequence Pattern Comparison: Early vs Late Human-AI Interactions (source, R code) Sequence Plots: heatmap, index, and distribution (source, R code) Network Estimation and Analysis with Nestimate (source, R code)

Downloads:

Package source:	Nestimate_0.4.3.tar.gz
Windows binaries:	r-devel: Nestimate_0.4.3.zip, r-release: Nestimate_0.4.3.zip, r-oldrel: Nestimate_0.4.3.zip
macOS binaries:	r-release (arm64): Nestimate_0.4.3.tgz, r-oldrel (arm64): Nestimate_0.4.3.tgz, r-release (x86_64): Nestimate_0.4.3.tgz, r-oldrel (x86_64): Nestimate_0.4.3.tgz
Old sources:	Nestimate archive

Reverse dependencies:

Reverse suggests:

cograph, cooccure

Linking:

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