Network Estimation, Bootstrap, and Higher-Order Analysis R package Nestimate version 0.3.0 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. Software 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 Mohammed Saqr <saqr@saqr.me> Comprehensive R Archive Network (CRAN) Mohammed Saqr [aut, cre, cph], Sonsoles López-Pernas [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=Nestimate/LICENSE) 2026-04-08 application/tgz https://CRAN.R-project.org/package=Nestimate doi:10.32614/CRAN.package.Nestimate en-US