CRAN/E | adace

adace

Estimator of the Adherer Average Causal Effect

Installation

About

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.

Key Metrics

Version 1.0.1
R ≥ 4.0.0
Published 2022-03-22 737 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks adace results

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Maintainer

Maintainer

Run Zhuang

capecod0321@gmail.com

Authors

Jiaxun Chen

aut

Rui Jin

aut

Yongming Qu

aut

Run Zhuang

aut / cre

Ying Zhang

aut

Eli Lilly
Company

cph

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 4.0.0

Imports

reshape2
pracma

Suggests

testthat ≥ 3.0.0
cubature ≥ 2.0.4
MASS ≥ 7.3-55