v1.6.0
What's Changed
- feat(bootstrap): expose CI / t-value / p-value summary per coefficient by @jojacobsen in #38
- feat(ipma): emit Henseler-convention normalized weights by @jojacobsen in #39
- feat(micom): emit raw variance difference in step 3 alongside log-ratio by @jojacobsen in #40
- feat(predict): support earliest-antecedents LM benchmark mode by @jojacobsen in #41
- feat(plsc): extend disattenuation overlay to AVE, ρ_c, SRMR, BIC, HTMT, VIF by @jojacobsen in #42
- feat(mga): add BootstrapMGA with Henseler / Chin / Welch tests by @jojacobsen in #43
- chore(release): 1.6.0 by @jojacobsen in #44
Full Changelog: v1.5.0...v1.6.0