Adaptive and automatic gradient boosting computations.
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Aug 20, 2022 - R
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adaptive-learning
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R package for Dirichlet adaptive shrinkage and smoothing
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Apr 30, 2018 - R
Non-parametric variable selection and inference via the outcome-adaptive Random Forest (OARF). Uses the IPTW estimator to estimate the ATE while the propensity score is estimated via OARF. This leads to smaller variance and bias. Only variables that are confounders or predictive of the outcome are selected for the propensity score.
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Jul 26, 2021 - R
This is the official implementations of On adaptive learning paths using hidden Markov models(JKDAS, 2023.04).
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Feb 13, 2023 - R
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