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lmw

Linear Model Weights

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) <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.

Versions across snapshots

VersionRepositoryFileSize
0.0.2 rolling linux/jammy R-4.5 lmw_0.0.2.tar.gz 492.5 KiB
0.0.2 rolling linux/noble R-4.5 lmw_0.0.2.tar.gz 492.4 KiB
0.0.2 rolling source/ R- lmw_0.0.2.tar.gz 272.4 KiB
0.0.2 latest linux/jammy R-4.5 lmw_0.0.2.tar.gz 492.5 KiB
0.0.2 latest linux/noble R-4.5 lmw_0.0.2.tar.gz 492.4 KiB
0.0.2 latest source/ R- lmw_0.0.2.tar.gz 272.4 KiB
0.0.2 2026-04-26 source/ R- lmw_0.0.2.tar.gz 272.4 KiB
0.0.2 2026-04-23 source/ R- lmw_0.0.2.tar.gz 272.4 KiB
0.0.2 2026-04-09 windows/windows R-4.5 lmw_0.0.2.zip 496.0 KiB
0.0.2 2025-04-20 source/ R- lmw_0.0.2.tar.gz 272.4 KiB

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