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qgcomp  

Quantile G-Computation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qgcomp", "2.15.2")



Attach the package and use:
library("qgcomp")
Maintained by
Alexander Keil
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-02
Latest Update: 2023-08-10
Description:
G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; .
How to cite:
Alexander Keil (2019). qgcomp: Quantile G-Computation. R package version 2.15.2, https://cran.r-project.org/web/packages/qgcomp
Previous versions and publish date:
1.0.0 (2019-03-02 19:20), 1.1.0 (2019-07-13 20:40), 1.2.0 (2019-11-12 07:20), 1.3.0 (2019-12-11 19:20), 2.0.0 (2020-01-17 00:10), 2.1.2 (2020-01-31 16:10), 2.2.2 (2020-03-02 00:00), 2.3.0 (2020-04-08 07:50), 2.4.0 (2020-07-01 14:00), 2.5.0 (2020-09-09 23:10), 2.6.0 (2020-10-06 07:10), 2.7.0 (2021-01-26 23:10), 2.8.0 (2021-07-16 07:30), 2.8.5 (2021-12-12 18:20), 2.8.6 (2022-01-24 16:12), 2.9.0 (2022-10-13 10:30), 2.10.1 (2022-12-07 22:20)
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