CHEMIST

Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments

CRAN Package

We aim to deal with the average treatment effect (ATE), where the data are subject to high-dimensionality and measurement error. This package primarily contains two functions, which are used to generate artificial data and estimate ATE with high-dimensional and error-prone data accommodated.

  • Version0.1.5
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release05/01/2023

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  • Depends1 package
  • Imports2 packages