The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Functions to implement the stability controlled quasi-experiment (SCQE) approach to study the effects of newly adopted treatments that were not assigned at random. This package contains tools to help users avoid making statistical assumptions that rely on infeasible assumptions. Methods developed in Hazlett (2019) <doi:10.1002/sim.8717>.
Version: | 1.0.0 |
Imports: | AER, ggplot2, stats, utils |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2021-05-14 |
DOI: | 10.32614/CRAN.package.scqe |
Author: | Kirsten Landsiedel [cre], Hazlett Chad [aut], Wulf Ami [ctr], Pinkelman Colleen [ctr], Christopher Gandrud [ctr] |
Maintainer: | Kirsten Landsiedel <kirstenlandsiedel at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | scqe results |
Reference manual: | scqe.pdf |
Package source: | scqe_1.0.0.tar.gz |
Windows binaries: | r-devel: scqe_1.0.0.zip, r-release: scqe_1.0.0.zip, r-oldrel: scqe_1.0.0.zip |
macOS binaries: | r-release (arm64): scqe_1.0.0.tgz, r-oldrel (arm64): scqe_1.0.0.tgz, r-release (x86_64): scqe_1.0.0.tgz, r-oldrel (x86_64): scqe_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=scqe to link to this page.
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.
Health stats visible at Monitor.