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ivsacim  

Structural Additive Cumulative Intensity Models with IV
View on CRAN: Click here


Download and install ivsacim package within the R console
Install from CRAN:
install.packages("ivsacim")

Install from Github:
library("remotes")
install_github("cran/ivsacim")

Install by package version:
library("remotes")
install_version("ivsacim", "2.1.0")



Attach the package and use:
library("ivsacim")
Maintained by
Andrew Ying
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-28
Latest Update: 2022-01-30
Description:
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.
How to cite:
Andrew Ying (2020). ivsacim: Structural Additive Cumulative Intensity Models with IV. R package version 2.1.0, https://cran.r-project.org/web/packages/ivsacim. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 1.0 (2020-10-28 09:40), 1.1 (2021-01-10 16:30), 1.3.1 (2021-08-07 06:40), 1.3 (2021-07-23 06:20), 2.0.0 (2022-01-06 07:10), 2.1.0 (2022-01-30 04:10)
Other packages that cited ivsacim R package
View ivsacim citation profile
Other R packages that ivsacim depends, imports, suggests or enhances
Complete documentation for ivsacim
Functions, R codes and Examples using the ivsacim R package
Some associated functions: IV_center . invalidivsacim_est . ivsacim . ivsacim_est . plot.ivsacim . summary.ivsacim . treatment_status . trt_center . 
Some associated R codes: RcppExports.R . auxiliary.R . ivsacim.R . zzz.R .  Full ivsacim package functions and examples
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