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1. DoublyRobustHD DoublyRobustHD Public

   R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods

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2. HDconfounding HDconfounding Public

   R package to implement high-dimensional confounding adjustment using continuous spike and slab priors

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3. NLinteraction NLinteraction Public

   R package to implement nonlinear, interaction models with variable selection

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4. AveragingCausalHD AveragingCausalHD Public

   R package to estimate causal effects in high dimensions by averaging over many estimators

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5. HeterogeneousTEpanel HeterogeneousTEpanel Public

   R package to estimate potentially heterogeneous causal effects in panel data settings with staggered adoption

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6. SSGL SSGL Public

   R package implementing the spike and slab group lasso

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