SensIAT: Sensitivity Analysis for Irregular Assessment Times (original) (raw)

Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.

Version: 0.3.0
Depends: R (≥ 4.4.0)
Imports: assertthat, dplyr, generics, ggplot2, glue, KernSmooth, MASS, MAVE, methods, orthogonalsplinebasis, pracma, purrr, Rcpp (≥ 1.0.12), rlang, splines, stats, survival, tibble, tidyr, utils
LinkingTo: Rcpp
Suggests: dfoptim, inline, ManifoldOptim, metR, progress, rmarkdown, spelling, testthat (≥ 3.0.0), tidyverse
Published: 2025-09-05
DOI: 10.32614/CRAN.package.SensIAT
Author: Andrew Redd ORCID iD [aut, cre], Yujing Gao [aut], Shu Yang [aut], Bonnie Smith [aut], Ravi Varadhan [aut], Agatha Mallett [ctb, ctr], Daniel ScharfsteinORCID iD [pdr, aut], University of Utah [cph]
Maintainer: Andrew Redd <andrew.redd at hsc.utah.edu>
BugReports: https://github.com/UofUEpiBio/SensIAT/issues
License: MIT + file
URL: https://github.com/UofUEpiBio/SensIAT,https://uofuepibio.github.io/SensIAT/
NeedsCompilation: yes
SystemRequirements: C++17
Language: en-US
Materials: README, NEWS
CRAN checks: SensIAT results

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