Statistical methods that quantify the conditions necessary to
alter inferences, also known as sensitivity analysis, are becoming
increasingly important to a variety of quantitative sciences. A series
of recent works, including Frank (2000)
<doi:10.1177/0049124100029002001> and Frank et al. (2013)
<doi:10.3102/0162373713493129> extend previous sensitivity analyses by
considering the characteristics of omitted variables or unobserved
cases that would change an inference if such variables or cases were
observed. These analyses generate statements such as "an omitted
variable would have to be correlated at xx with the predictor of
interest (e.g., the treatment) and outcome to invalidate an inference of a
treatment effect". Or "one would have to replace pp percent of the
observed data with nor which the treatment had no effect to invalidate the
inference".
We implement these recent developments of sensitivity analysis and
provide modules to calculate these two robustness indices and generate
such statements in R. In particular, the functions konfound(),
pkonfound() and mkonfound() allow users to calculate the robustness of
inferences for a user's own model, a single published study and
multiple studies respectively.
| Version: |
1.0.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
broom, broom.mixed, crayon, dplyr, ggplot2, lavaan, purrr, rlang, tidyr, lme4 (≥ 1.1-35.1), tibble, ggrepel, pbkrtest |
| Suggests: |
covr, devtools, forcats, knitr, rmarkdown, mice, roxygen2, testthat, Matrix (≥ 1.6-2) |
| Published: |
2024-10-17 |
| DOI: |
10.32614/CRAN.package.konfound |
| Author: |
Joshua M Rosenberg [aut, cre],
Ran Xu [ctb],
Qinyun Lin [ctb],
Spiro Maroulis [ctb],
Sarah Narvaiz [ctb],
Kenneth A Frank [ctb],
Wei Wang [ctb],
Yunhe Cui [ctb],
Gaofei Zhang [ctb],
Xuesen Cheng [ctb],
JiHoon Choi [ctb],
Guan Saw [ctb] |
| Maintainer: |
Joshua M Rosenberg <jmrosen48 at gmail.com> |
| BugReports: |
https://github.com/konfound-project/konfound/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/konfound-project/konfound,
https://konfound-it.org/konfound/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
konfound results |