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multicate 1.0.0

First Public Release

This is the first official release of multicate! The package provides functions for performing machine learning methods that estimate theconditional average treatment effect (CATE) by combining data from multiple studies. Additionalfunctions can be used to estimate prediction intervals for the CATE in a target sample based on the aforementioned models.

Features

  • Implements estimate_cate() which estimates conditional average treatment effect (CATE) from multiple studies.
  • Supports custom summarization and visualizations with summary.cate() and plot.cate() (S3) and plot_vteffect().
  • Provides predict.cate() (S3) that generates prediction intervals for covariate profiles in target dataset based on CATE model.
  • Includes built-in dataset dummy_tbl for testing.
  • Comprehensive documentation and examples included.

Installation

Install from Github:

# install.packages("pak")
pak::pak("dobengjhu/multicate")