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Prepare the 2.4.0 release (#1471)
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r-package/grf/DESCRIPTION

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Package: grf
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Title: Generalized Random Forests
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Version: 2.3.2
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Version: 2.4.0
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Authors@R: c(
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person("Julie", "Tibshirani", role = "aut", email = "jtibs@cs.stanford.edu"),
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person("Susan", "Athey", role = "aut"),

r-package/grf/NAMESPACE

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S3method(print,grf_tree)
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S3method(print,rank_average_treatment_effect)
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S3method(print,tuning_output)
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export(average_late)
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export(average_partial_effect)
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export(average_treatment_effect)
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export(best_linear_projection)
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export(boosted_regression_forest)
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export(causal_forest)
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export(causal_survival_forest)
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export(custom_forest)
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export(generate_causal_data)
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export(generate_causal_survival_data)
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export(get_forest_weights)
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export(get_leaf_node)
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export(get_sample_weights)
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export(get_scores)
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export(get_tree)
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export(grf_options)
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export(split_frequencies)
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export(survival_forest)
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export(test_calibration)
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export(tune_causal_forest)
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export(tune_instrumental_forest)
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export(tune_regression_forest)
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export(variable_importance)
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importFrom(Matrix,Matrix)
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importFrom(Rcpp,evalCpp)

r-package/grf/R/deprecated.R

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r-package/grf/man/average_late.Rd

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r-package/grf/man/average_partial_effect.Rd

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r-package/grf/man/custom_forest.Rd

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r-package/grf/man/get_sample_weights.Rd

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r-package/grf/man/tune_causal_forest.Rd

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r-package/grf/man/tune_instrumental_forest.Rd

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r-package/grf/man/tune_regression_forest.Rd

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releases/CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [2.4.0] - 2024-11-??
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### Fixed
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- **IMPORTANT:** Make random seed behavior independent of the number of cores the forest is trained with. This fix means code from previous versions will produce slightly different results, even with the same random seed. A global package option `options(grf.legacy.seed)` is added for users who wish to exactly recover past results without reinstalling a previous grf version. [#1447](https://github.com/grf-labs/grf/pull/1447)
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- Respect `num.threads` argument in internal debiasing weights estimation. [#1437](https://github.com/grf-labs/grf/pull/1437)
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- Relax a minimum cluster size requirement in `boot_grf`. [#1412](https://github.com/grf-labs/grf/pull/1412)
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- Ensure input dimensions of covariate matrix X is non-zero. [#1408](https://github.com/grf-labs/grf/pull/1408)
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- Fix minor docstring typos. [#1406](https://github.com/grf-labs/grf/pull/1406), [#1420](https://github.com/grf-labs/grf/pull/1420), [#1443](https://github.com/grf-labs/grf/pull/1443)
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## [2.3.2] - 2024-02-25
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### Fixed

releases/README.md

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## Previous performance test results
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**2.4.0**
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This is only a minor release with minimal changes.
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**2.3.2**
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This is only a patch release with minor aesthetic R fixes.

releases/grf_2.4.0.tar.gz

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