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.