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.