Package: sensemakr
Type: Package
Title: Sensitivity Analysis Tools for Regression Models
Date: 2024-07-22
Version: 0.1.6
Authors@R: c(
  person("Carlos", "Cinelli", role = c("aut", "cre"), email = "carloscinelli@hotmail.com"),
  person("Jeremy", "Ferwerda", role = "aut"),
  person("Chad", "Hazlett", role = "aut"),
  person("Danielle", "Tsao", role = "ctb"),
  person("Aaron", "Rudkin", role = "ctb"),
  person("Grigorij", "Ljubownikow", role = "ctb")
  )
Author: Carlos Cinelli [aut, cre],
  Jeremy Ferwerda [aut],
  Chad Hazlett [aut],
  Danielle Tsao [ctb],
  Aaron Rudkin [ctb],
  Grigorij Ljubownikow [ctb]
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>
Description: Implements a suite of sensitivity analysis tools 
  that extends the traditional omitted variable bias framework and makes it easier 
  to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.
URL: https://github.com/carloscinelli/sensemakr
BugReports: https://github.com/carloscinelli/sensemakr/issues
License: GPL-3
Depends: R (>= 3.1.0)
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: testthat, covr, knitr, rmarkdown, png, stargazer, fixest
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-22 08:25:23 UTC; cinelli
Repository: CRAN
Date/Publication: 2024-07-22 09:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 19:49:01 UTC; unix
