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# Changelog
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# stochtree 0.2.1.9000
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## Bug Fixes
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* Fix prediction bug for R BART models with random effects with labels that aren't straightforward `1:num_groups` integers when only `y_hat` is requested ([#256](https://github.com/StochasticTree/stochtree/pull/256))
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# stochtree 0.2.1
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## Bug Fixes
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* Fix prediction bug for univariate random effects models in R ([#248](https://github.com/StochasticTree/stochtree/pull/248))
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* Fix prediction bug for Python BART and BCF models with random effects with labels that aren't straightforward `0:(num_groups-1)` integers ([#256](https://github.com/StochasticTree/stochtree/pull/256))
Copy file name to clipboardExpand all lines: NEWS.md
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# stochtree 0.2.1.9000
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## Bug Fixes
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* Fix prediction bug for R BART models with random effects with labels that aren't straightforward `1:num_groups` integers when only `y_hat` is requested ([#256](https://github.com/StochasticTree/stochtree/pull/256))
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# stochtree 0.2.1
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## Bug Fixes
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* Fix prediction bug for univariate random effects models in R ([#248](https://github.com/StochasticTree/stochtree/pull/248))
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* Fix prediction bug for Python BART and BCF models with random effects with labels that aren't straightforward `0:(num_groups-1)` integers ([#256](https://github.com/StochasticTree/stochtree/pull/256))
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