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.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	data.table, progress
Suggests:	testthat (≥ 3.0.0)
Published:	2026-01-09
DOI:	10.32614/CRAN.package.smoothedIPW
Author:	Sean McGrath [aut, cre], Takuya Kawahara [aut], Jessica Young [aut]
Maintainer:	Sean McGrath <sean.mcgrath514 at gmail.com>
BugReports:	https://github.com/stmcg/smoothedIPW/issues
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	smoothedIPW results

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