Package: qgcomp
Title: Quantile G-Computation
Version: 2.17.4
Date: 2025-02-23
Authors@R: 
    person("Alexander", "Keil", , "alex.keil@nih.gov", role = c("aut", "cre"))
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; <doi:10.1289/EHP5838>.
License: GPL (>= 2)
URL: https://github.com/alexpkeil1/qgcomp/
BugReports: https://github.com/alexpkeil1/qgcomp/issues
Depends: R (>= 3.5.0)
Imports: AER, arm, future, future.apply, generics, ggplot2 (>= 3.3.0),
        grDevices, grid, gridExtra, nnet, numDeriv, pscl, rootSolve,
        stats, survival, tibble
Suggests: broom, devtools, knitr, markdown, MASS, mice
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-02-23 19:03:03 UTC; keilap
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>
Repository: CRAN
Date/Publication: 2025-02-23 19:50:02 UTC
