Package: qgcomp
Title: Quantile G-Computation
Version: 1.2.0
Date: 2019-11-11
Authors@R: 
    person(given = "Alexander",
           family = "Keil",
           role = c("aut", "cre"),
           email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
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 Alexandra
    J. White (2019) A quantile-based g-computation approach to addressing
    the effects of exposure mixtures; <arXiv:1902.04200> [stat.ME].
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: arm, future, future.apply, ggplot2, grDevices, grid,
        gridExtra, parallel, stats, survival
Suggests: knitr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-11-12 04:26:08 UTC; akeil
Repository: CRAN
Date/Publication: 2019-11-12 06:20:03 UTC
