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  [aut,
cre],
Yujing Gao [aut],
Shu Yang [aut],
Bonnie Smith [aut],
Ravi Varadhan [aut],
Agatha Mallett [ctb, ctr],
Daniel Scharfstein
[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 LICENSE |
| 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 |