Updated changelog

Author: andrewherren

CHANGELOG.md

@@ -0,0 +1,38 @@
+# Changelog
+
+# stochtree 0.1.2
+
+## New Features
+
+* Support for binary outcomes in BART and BCF with a probit link ([#164](https://github.com/StochasticTree/stochtree/pull/164))
+
+## Bug Fixes
+
+* Fixed indexing bug in cleanup of grow-from-root (GFR) samples in BART and BCF models
+* Avoid using covariate preprocessor in `computeForestLeafIndices` R function when a `ForestSamples` object is provided (instead of a `bartmodel` or `bcfmodel` object)
+
+# stochtree 0.1.1
+
+## Bug Fixes
+
+* Fixed initialization bug in several R package code examples for random effects models
+
+# stochtree 0.1.0
+
+Initial "alpha" release
+
+## New Features
+
+* Support for sampling stochastic tree ensembles using two algorithms: MCMC and Grow-From-Root (GFR)
+* High-level model types supported:
+    * Supervised learning with constant leaves or user-specified leaf regression models
+    * Causal effect estimation with binary or continuous treatments
+* Additional high-level modeling features:
+    * Forest-based variance function estimation (heteroskedasticity)
+    * Additive (univariate or multivariate) group random effects
+    * Multi-chain sampling and support for parallelism
+    * "Warm-start" initialization of MCMC forest samplers via the Grow-From-Root (GFR) algorithm
+    * Automated preprocessing / handling of categorical variables
+* Low-level interface:
+    * Ability to combine a forest sampler with other (additive) model terms, without using C++
+    * Combine and sample an arbitrary number of forests or random effects terms

NEWS.md

@@ -1,7 +1,13 @@
 # stochtree 0.1.2
 
+## New Features
+
+* Support for binary outcomes in BART and BCF with a probit link ([#164](https://github.com/StochasticTree/stochtree/pull/164))
+
+## Bug Fixes
+
 * Fixed indexing bug in cleanup of grow-from-root (GFR) samples in BART and BCF models
-* Avoid using covariate preprocessor in `computeForestLeafIndices` function when a `ForestSamples` object is provided
+* Avoid using covariate preprocessor in `computeForestLeafIndices` function when a `ForestSamples` object is provided (rather than a `bartmodel` or `bcfmodel` object)
 
 # stochtree 0.1.1