Sensitivity analysis for trials with irregular and informative
assessment times, based on a new influence function-based, augmented
inverse intensity-weighted estimator.
Version: |
0.1.0 |
Depends: |
R (≥ 4.4.0) |
Imports: |
assertthat, dplyr, glue, KernSmooth, MASS, methods, orthogonalsplinebasis, pracma, purrr, Rcpp (≥ 1.0.12), rlang, splines, stats, survival, tibble, tidyr, utils |
LinkingTo: |
Rcpp |
Suggests: |
dfoptim, inline, progress, spelling, testthat (≥ 3.0.0) |
Published: |
2024-11-01 |
DOI: |
10.32614/CRAN.package.SensIAT |
Author: |
Andrew Redd [aut,
cre],
Yujing Gao [aut],
Shu Yang [aut],
Bonnie Smith [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 |
NeedsCompilation: |
yes |
SystemRequirements: |
C++17 |
Language: |
en-US |
Materials: |
README NEWS |
CRAN checks: |
SensIAT results |