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Nestimate 0.2.15

• Preparing for publication

Nestimate 0.2.0

• Reduced hard dependencies from 6 to 4 Imports (ggplot2, glasso, data.table, cluster).
• Removed igraph from Imports — centrality_stability() and boot_glasso() now accept a centrality_fn parameter for external centrality computation.
• Removed tna from Imports — moved to Suggests (only used for input class detection).
• Implemented graphical_var() from scratch using coordinate descent lasso + graphical lasso with EBIC model selection, eliminating the graphicalVAR dependency.
• Dropped ml_graphical_var() — users should use mlvar() for multilevel VAR.
• Removed cograph plot wrappers — plot.netobject(), plot.net_bootstrap(), plot.net_permutation(), plot.net_hon(), plot.net_hypa() and as_cograph() removed. Users call cograph plotting functions directly on netobjects.
• Added attention estimator for decay-weighted transition networks.
• Increased test coverage from 84.5% to 96.1% (2780 tests).
• Passes R CMD check with 0 errors, 0 warnings, 0 notes.

Nestimate 0.1.0

• Initial release. Split from Saqrlab v0.3.0.
• Core estimation via build_network() with 8 built-in estimators.
• Bootstrap inference (bootstrap_network()), permutation testing (permutation_test()), EBICglasso bootstrap (boot_glasso()).
• Higher-order networks: HON, HONEM, HYPA, MOGen.
• GIMME, MCML, multilevel VAR, graphical VAR.
• Temporal network analysis and velocity TNA.
• Dual-class c("netobject", "cograph_network") output for cograph compatibility.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.