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.
Implements bidirectional two-stage least squares (Bi-TSLS) estimation for identifying bidirectional causal effects between two variables in the presence of unmeasured confounding. The method uses proxy variables (negative control exposure and outcome) along with at least one covariate to handle confounding.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | stats |
Published: | 2025-05-28 |
DOI: | 10.32614/CRAN.package.BiTSLS |
Author: | Jiaqi Min [aut, cre] |
Maintainer: | Jiaqi Min <fhoneysuckle7 at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | BiTSLS results |
Reference manual: | BiTSLS.pdf |
Package source: | BiTSLS_0.1.0.tar.gz |
Windows binaries: | r-devel: BiTSLS_0.1.0.zip, r-release: BiTSLS_0.1.0.zip, r-oldrel: BiTSLS_0.1.0.zip |
macOS binaries: | r-release (arm64): BiTSLS_0.1.0.tgz, r-oldrel (arm64): BiTSLS_0.1.0.tgz, r-release (x86_64): BiTSLS_0.1.0.tgz, r-oldrel (x86_64): BiTSLS_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BiTSLS 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.