Allows user to conduct a simulation based quantitative
bias analysis using covariate structures generated with individual-level
data to characterize the bias arising from unmeasured confounding. Users
can specify their desired data generating mechanisms to simulate data
and quantitatively summarize findings in an end-to-end application
using this package.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
chk (≥ 0.9.1), cobalt (≥ 4.5.3), ggplot2 (≥ 3.4.4), scales (≥ 1.3.0), pbapply (≥ 1.7-2), rlang (≥ 1.1.3), stats, survival, utils |
| Suggests: |
MatchIt (≥ 4.5.5), WeightIt (≥ 0.14.2), parallel, openxlsx (≥ 4.2.5.2), knitr, rmarkdown |
| Published: |
2024-04-22 |
| Author: |
Rishi Desai  [aut,
cre],
Noah Greifer
[aut] |
| Maintainer: |
Rishi Desai <rdesai at bwh.harvard.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
sim.BA results |