Package: qgcomp
Title: Quantile G-Computation
Version: 2.7.0
Date: 2021-01-26
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, 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)
Depends: R (>= 3.5.0)
Imports: arm, future, future.apply, generics, ggplot2 (>= 3.3.0),
        grDevices, grid, gridExtra, pscl, stats, survival, tibble
Suggests: broom, devtools, knitr, markdown, MASS, mice
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-26 21:42:07 UTC; akeil
Repository: CRAN
Date/Publication: 2021-01-26 22:10:02 UTC
Built: R 4.0.2; ; 2021-01-27 12:23:06 UTC; unix
