release: bump version to 1.1.0

MINOR version bump for new feature (backward compatible):
- State-space seasonal model matching R bsts AddSeasonal()
- Seasonal CI parity improved from ±5% to ±1%
- Fix __version__ tracking in Rust module

Author: YuminosukeSato

CHANGELOG.md

@@ -4,6 +4,18 @@ All notable changes to this project will be documented in this file.
 
 The format is based on Keep a Changelog.
 
+## [1.1.0] - 2026-03-23
+
+### Changed
+
+- Seasonal component: migrated from dummy regression to Kalman state-space
+  model matching R bsts `AddSeasonal()` algorithm.
+- Seasonal numerical equivalence tolerance tightened from ±5% to ±1%.
+
+### Fixed
+
+- `__version__` in Rust module now correctly tracks release version.
+
 ## [1.0.0] - 2026-03-23
 
 ### Added

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "causal_impact_core"
-version = "1.0.1"
+version = "1.1.0"
 edition = "2021"
 
 [lib]

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "maturin"
 
 [project]
 name = "bsts-causalimpact"
-version = "1.0.1"
+version = "1.1.0"
 description = "CausalImpact for Python with Rust Gibbs sampler (R-compatible)"
 requires-python = ">=3.10"
 dependencies = [

src/lib.rs

@@ -103,7 +103,7 @@ fn run_gibbs_sampler(
 /// Provides Gibbs sampler for Bayesian structural time series.
 #[pymodule]
 fn _core(m: &Bound<'_, PyModule>) -> PyResult<()> {
-    m.add("__version__", "1.0.0")?;
+    m.add("__version__", "1.1.0")?;
     m.add_class::<GibbsSamples>()?;
     m.add_function(wrap_pyfunction!(run_gibbs_sampler, m)?)?;
     Ok(())