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:Jiaxun Chen [aut], Rui Jin [aut], Yongming Qu [aut], Run Zhuang [aut, cre], Ying Zhang [aut], Eli Lilly and Company [cph]

adace_1.0.2.tar.gz
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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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 296 downloads 4 exports 12 dependencies

Last updated 2 years agofrom:9607f71848. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winNOTEMar 21 2025
R-4.5-macNOTEMar 21 2025
R-4.5-linuxNOTEMar 21 2025
R-4.4-winNOTEMar 21 2025
R-4.4-macNOTEMar 21 2025
R-4.4-linuxNOTEMar 21 2025
R-4.3-winOKMar 21 2025
R-4.3-macOKMar 21 2025

Exports:est_S_Plus_Plus_MethodAest_S_Plus_Plus_MethodBest_S_Star_Plus_MethodAest_S_Star_Plus_MethodB

Dependencies:cligluelifecyclemagrittrplyrpracmaRcppreshape2rlangstringistringrvctrs