# 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.
