lmw-package: lmw: Linear Model Weights
In lmw: Linear Model Weights
lmw-package R Documentation
lmw: Linear Model Weights
Description
Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/biomet/asac058")} where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.
Author(s)
Maintainer: Noah Greifer ngreifer@iq.harvard.edu (ORCID)
Authors:
Ambarish Chattopadhyay ambarish_chattopadhyay@g.harvard.edu (ORCID)
Jose Zubizarreta zubizarreta@hcp.med.harvard.edu (ORCID)
See Also
Useful links:
lmw documentation built on May 29, 2024, 6:53 a.m.
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| lmw-package | R Documentation |
lmw: Linear Model Weights
Description
Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/biomet/asac058")} where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.
Author(s)
Maintainer: Noah Greifer ngreifer@iq.harvard.edu (ORCID)
Authors:
Ambarish Chattopadhyay ambarish_chattopadhyay@g.harvard.edu (ORCID)
Jose Zubizarreta zubizarreta@hcp.med.harvard.edu (ORCID)
See Also
Useful links:
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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