qgcompint: Quantile G-Computation Extensions for Effect Measure Modification

G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. Effect measure modification in this method is a way to assess how the effect of the mixture varies by a binary, categorical or continuous variable. 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; <doi:10.1289/EHP5838>.

Version:	0.7.0
Depends:	R (≥ 3.5.0)
Imports:	qgcomp, arm, survival, future, future.apply, ggplot2, gridExtra
Suggests:	knitr, markdown, devtools
Published:	2022-03-22
DOI:	10.32614/CRAN.package.qgcompint
Author:	Alexander Keil [aut, cre]
Maintainer:	Alexander Keil <akeil at unc.edu>
BugReports:	https://github.com/alexpkeil1/qgcomp/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/alexpkeil1/qgcomp/
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	qgcompint results

Documentation:

Reference manual:	qgcompint.pdf
Vignettes:	The qgcompint package: g-computation with statistical interaction

Downloads:

Package source:	qgcompint_0.7.0.tar.gz
Windows binaries:	r-devel: qgcompint_0.7.0.zip, r-release: qgcompint_0.7.0.zip, r-oldrel: qgcompint_0.7.0.zip
macOS binaries:	r-release (arm64): qgcompint_0.7.0.tgz, r-oldrel (arm64): qgcompint_0.7.0.tgz, r-release (x86_64): qgcompint_0.7.0.tgz, r-oldrel (x86_64): qgcompint_0.7.0.tgz
Old sources:	qgcompint archive

Linking:

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