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smoothedIPW

Time-Smoothed Inverse Probability Weighting for Repeatedly Measured Outcomes

Implements several methods to estimate effects of generalized time-varying treatment strategies on the mean of an outcome at one or more selected follow-up times of interest. Specifically, the package implements the time-smoothed inverse probability weighted estimators described in McGrath et al. (2025) <doi:10.48550/arXiv.2509.13971>. Outcomes may be repeatedly, non-monotonically, informatively, and sparsely measured in the data source. The package also supports settings where outcomes are truncated by death, i.e. some individuals die during follow-up which renders the outcome of interest undefined at the follow-up time of interest.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 smoothedIPW_0.1.0.tar.gz 277.9 KiB
0.1.0 rolling linux/noble R-4.5 smoothedIPW_0.1.0.tar.gz 277.9 KiB
0.1.0 rolling source/ R- smoothedIPW_0.1.0.tar.gz 206.7 KiB
0.1.0 latest linux/jammy R-4.5 smoothedIPW_0.1.0.tar.gz 277.9 KiB
0.1.0 latest linux/noble R-4.5 smoothedIPW_0.1.0.tar.gz 277.9 KiB
0.1.0 latest source/ R- smoothedIPW_0.1.0.tar.gz 206.7 KiB
0.1.0 2026-04-26 source/ R- smoothedIPW_0.1.0.tar.gz 206.7 KiB
0.1.0 2026-04-23 source/ R- smoothedIPW_0.1.0.tar.gz 206.7 KiB
0.1.0 2026-04-09 windows/windows R-4.5 smoothedIPW_0.1.0.zip 281.2 KiB

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