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.