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NEWS.md

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# stochtree 0.1.0
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* Initial CRAN submission.
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* Initial release on CRAN.
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* Support for sampling stochastic tree ensembles using two algorithms: MCMC and Grow-From-Root (GFR)
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* High-level model types supported:
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* Supervised learning with constant leaves or user-specified leaf regression models
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* Causal effect estimation with binary, continuous, or multivariate treatments
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* Additional high-level modeling features:
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* Forest-based variance function estimation (heteroskedasticity)
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* Additive (univariate or multivariate) group random effects
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* Multi-chain sampling and support for parallelism
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* "Warm-start" initialization of MCMC forest samplers via the Grow-From-Root (GFR) algorithm
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* Automated preprocessing / handling of categorical variables
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* Low-level interface:
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* Ability to combine a forest sampler with other (additive) model terms, without using C++
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* Combine and sample an arbitrary number of forests or random effects terms

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