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SensIAT: Sensitivity Analysis for Irregular Assessment Times

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

Version: 0.1.1
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: 2024-11-17
DOI: 10.32614/CRAN.package.SensIAT
Author: Andrew Redd ORCID iD [aut, cre], Yujing Gao [aut], Shu Yang [aut], Bonnie Smith [aut], Agatha Mallett [ctb, ctr], Daniel Scharfstein ORCID 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 LICENSE
URL: https://github.com/UofUEpiBio/SensIAT
NeedsCompilation: yes
SystemRequirements: C++17
Language: en-US
Materials: README NEWS
CRAN checks: SensIAT results

Documentation:

Reference manual: SensIAT.pdf

Downloads:

Package source: SensIAT_0.1.1.tar.gz
Windows binaries: r-devel: SensIAT_0.1.1.zip, r-release: SensIAT_0.1.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): SensIAT_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): SensIAT_0.1.1.tgz, r-oldrel (x86_64): not available
Old sources: SensIAT archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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