Package: ivsacim 2.1.0
ivsacim: Structural Additive Cumulative Intensity Models with IV
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.
Authors:
ivsacim_2.1.0.tar.gz
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ivsacim.pdf |ivsacim.html✨
ivsacim/json (API)
| # Install 'ivsacim' in R: |
| install.packages('ivsacim', repos = c('https://andrewyyp.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ad7d169809. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 07 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 07 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 07 2024 |
Exports:invalidivsacim_estIV_centerivsacimivsacim_estplot.ivsacimprint.summary.ivsacimsummary.ivsacimtreatment_statustrt_center
Dependencies:RcppRcppArmadillo
