qgcomp: Quantile G-Computation

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; <doi:10.1289/EHP5838>.

Version:	2.15.2
Depends:	R (≥ 3.5.0)
Imports:	arm, future, future.apply, generics, ggplot2 (≥ 3.3.0), grDevices, grid, gridExtra, nnet, pscl, stats, survival, tibble
Suggests:	broom, devtools, knitr, markdown, MASS, mice
Published:	2023-08-10
Author:	Alexander Keil [aut, cre]
Maintainer:	Alexander Keil <alex.keil at nih.gov>
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:	qgcomp results

Documentation:

Reference manual:	qgcomp.pdf
Vignettes:	The qgcomp package: g-computation on exposure quantiles

Downloads:

Package source:	qgcomp_2.15.2.tar.gz
Windows binaries:	r-devel: qgcomp_2.15.2.zip, r-release: qgcomp_2.15.2.zip, r-oldrel: qgcomp_2.15.2.zip
macOS binaries:	r-release (arm64): qgcomp_2.15.2.tgz, r-oldrel (arm64): qgcomp_2.15.2.tgz, r-release (x86_64): qgcomp_2.15.2.tgz, r-oldrel (x86_64): qgcomp_2.15.2.tgz
Old sources:	qgcomp archive

Reverse dependencies:

Reverse imports:	epiomics, qgcompint
Reverse suggests:	mpower

Linking:

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