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ahw  

Calculates Continuous Time Likelihood Ratio Weights Assuming Multiplicative Intensity Models and Additive Hazard Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ahw", "0.1.0")



Attach the package and use:
library("ahw")
Maintained by
Pål Christie Ryalen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-22
Latest Update: 2025-09-01
Description:
Estimates continuous time weights for performing causal survival analysis. For instance, weighted Nelson-Aalen or Kaplan-Meier estimates can be given a causal interpretation. See Ryalen, Stensrud, and R
How to cite:
Pål Christie Ryalen (2022). ahw: Calculates Continuous Time Likelihood Ratio Weights Assuming Multiplicative Intensity Models and Additive Hazard Models. R package version 0.1.0, https://cran.r-project.org/web/packages/ahw. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2022-12-22 21:40)
Other packages that cited ahw R package
View ahw citation profile
Other R packages that ahw depends, imports, suggests or enhances
Complete documentation for ahw
Functions, R codes and Examples using the ahw R package
Some associated functions: Tmat . addNoiseAtEventTimes . ahw . fFrame . fr1 . makeContWeights . naReplace . plotContWeights . refineTable . weightPredict . 
Some associated R codes: addNoiseAtEventTimes.R . ahw-package.R . datasets.R . makeContWeights.R . naReplace.R . plotContWeights.R . refineTable.R . weightPredict.R .  Full ahw package functions and examples
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