smoothedIPW

Time-Smoothed Inverse Probability Weighting for Repeatedly Measured Outcomes

v0.1.0 · Jan 9, 2026 · GPL (>= 3)

Description

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.

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r-devel-linux-x86_64-debian-clang	OK	127.8s
r-devel-linux-x86_64-debian-gcc	OK	125s
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r-devel-windows-x86_64	OK	92s
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