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.
An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.
| Version: | 2.1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2022-01-30 |
| Author: | Andrew Ying |
| Maintainer: | Andrew Ying <aying9339 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | ivsacim results |
| Reference manual: | ivsacim.pdf |
| Package source: | ivsacim_2.1.0.tar.gz |
| Windows binaries: | r-devel: ivsacim_2.1.0.zip, r-release: ivsacim_2.1.0.zip, r-oldrel: ivsacim_2.1.0.zip |
| macOS binaries: | r-release (arm64): ivsacim_2.1.0.tgz, r-oldrel (arm64): ivsacim_2.1.0.tgz, r-release (x86_64): ivsacim_2.1.0.tgz, r-oldrel (x86_64): ivsacim_2.1.0.tgz |
| Old sources: | ivsacim archive |
Please use the canonical form https://CRAN.R-project.org/package=ivsacim 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.