Package: regmedint
Title: Regression-Based Causal Mediation Analysis with an Interaction
        Term
Version: 0.2.1
Authors@R: c(
    # http://r-pkgs.had.co.nz/description.html#author
    person('Kazuki', 'Yoshida',
    email = 'kazukiyoshida@mail.harvard.edu',
    role = c('cre','aut'),
    comment = c(ORCID = '0000-0002-2030-3549')),
    person('Yi', 'Li',
    role = c('ctb','aut'),
    comment = c(ORCID = '0000-0002-9359-210X')),
    person('Maya', 'Mathur',
    role = c('ctb'),
    comment = c(ORCID = '0000-0001-6698-2607'))
    )
Description: 'R' implementation of the regression-based causal mediation analysis with a treatment-mediator interaction term, as originally implemented in the 'SAS' macro by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Deriv, MASS, Matrix, assertthat, sandwich, survival
Suggests: boot, furrr, future, geepack, knitr, mice, mitools, modelr,
        purrr, rlang, rmarkdown, stringr, testthat, tidyverse
RoxygenNote: 7.1.1
VignetteBuilder: knitr
URL: https://kaz-yos.github.io/regmedint/
BugReports: https://github.com/kaz-yos/regmedint/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-12 00:04:16 UTC; kazuki
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>),
  Yi Li [ctb, aut] (<https://orcid.org/0000-0002-9359-210X>),
  Maya Mathur [ctb] (<https://orcid.org/0000-0001-6698-2607>)
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>
Repository: CRAN
Date/Publication: 2021-05-12 04:30:02 UTC
