Package: ahw 0.1.0
ahw: Calculates Continuous Time Likelihood Ratio Weights Assuming Multiplicative Intensity Models and Additive Hazard Models
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 Røysland (2019) <doi:10.1007/s10985-019-09468-y> and Ryalen (2019) <https://www.duo.uio.no/handle/10852/70353> for theory and examples.
Authors:
ahw_0.1.0.tar.gz
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ahw_0.1.0.tgz(r-4.4-any)ahw_0.1.0.tgz(r-4.3-any)
ahw_0.1.0.tar.gz(r-4.5-noble)ahw_0.1.0.tar.gz(r-4.4-noble)
ahw_0.1.0.tgz(r-4.4-emscripten)ahw_0.1.0.tgz(r-4.3-emscripten)
ahw.pdf |ahw.html✨
ahw/json (API)
| # Install 'ahw' in R: |
| install.packages('ahw', repos = c('https://palryalen.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 2 years agofrom:635d1db5a5. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | NOTE | Oct 31 2024 |
| R-4.5-linux | NOTE | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:addNoiseAtEventTimesmakeContWeightsnaReplaceplotContWeightsrefineTable
Dependencies:clicodetoolsdata.tabledigestfuturefuture.applyglobalslatticelavalistenvMatrixnumDerivparallellyplyrprogressrRcppSQUAREMsurvivaltimereg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tie removal | addNoiseAtEventTimes |
| Re-weighting Point Processes Based on Additive Hazard Models | ahw |
| fFrame | fFrame |
| fr1 | fr1 |
| Continuous time weight estimation based on 'aalen.predict' | makeContWeights |
| Replaces NA-values in 'vec' with last non-NA value | naReplace |
| Plots mean and individual weight trajectories | plotContWeights |
| Expands data.table | refineTable |
| Tmat | Tmat |
| Continuous time weight estimation based on 'predict.aalen' | weightPredict |
