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 + fileLICENSE |
| 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 |