Time-Smoothed Inverse Probability Weighting for Repeatedly Measured Outcomes R package smoothedIPW version 0.1.0 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. Software Depends: R (>= 2.10) Imports: data.table, progress Suggests: testthat (>= 3.0.0) Sean McGrath <sean.mcgrath514@gmail.com> Comprehensive R Archive Network (CRAN) Sean McGrath [aut, cre] (ORCID: <https://orcid.org/0000-0002-7281-3516>), Takuya Kawahara [aut], Jessica Young [aut] (ORCID: <https://orcid.org/0000-0002-2758-6932>) GPL (>= 3) 2026-01-09 application/tgz https://CRAN.R-project.org/package=smoothedIPW doi:10.32614/CRAN.package.smoothedIPW