Package: adace 1.0.2
adace: Estimator of the Adherer Average Causal Effect
Estimate the causal treatment effect for subjects that can adhere to one or both of the treatments. Given longitudinal data with missing observations, consistent causal effects are calculated. Unobserved potential outcomes are estimated through direct integration as described in: Qu et al., (2019) <doi:10.1080/19466315.2019.1700157> and Zhang et. al., (2021) <doi:10.1080/19466315.2021.1891965>.
Authors:
adace_1.0.2.tar.gz
adace_1.0.2.zip(r-4.5)adace_1.0.2.zip(r-4.4)adace_1.0.2.zip(r-4.3)
adace_1.0.2.tgz(r-4.4-any)adace_1.0.2.tgz(r-4.3-any)
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adace_1.0.2.tgz(r-4.4-emscripten)adace_1.0.2.tgz(r-4.3-emscripten)
adace.pdf |adace.html✨
adace/json (API)
NEWS
# Install 'adace' in R: |
install.packages('adace', repos = c('https://zhuangr.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 1 years agofrom:9607f71848. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | NOTE | Nov 21 2024 |
R-4.5-linux | NOTE | Nov 21 2024 |
R-4.4-win | NOTE | Nov 21 2024 |
R-4.4-mac | NOTE | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Exports:est_S_Plus_Plus_MethodAest_S_Plus_Plus_MethodBest_S_Star_Plus_MethodAest_S_Star_Plus_MethodB
Dependencies:cligluelifecyclemagrittrplyrpracmaRcppreshape2rlangstringistringrvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimate the treatment effects for population S_++ using Method A | est_S_Plus_Plus_MethodA |
Estimate the treatment effects for population S_++ using Method B | est_S_Plus_Plus_MethodB |
Estimate the treatment effects for population S_*+ using Method A | est_S_Star_Plus_MethodA |
Estimate the treatment effects for population S_*+ using Method B | est_S_Star_Plus_MethodB |