DESCRIPTION

Package: risks
Title: Estimate Risk Ratios and Risk Differences using Regression
Version: 0.4.2
Authors@R: 
    c(person(given = "Konrad",
             family = "Stopsack",
             role = c("aut", "cre"),
             email = "stopsack@post.harvard.edu",
             comment = c(ORCID = "0000-0002-0722-1311")),
      person(given = "Travis",
             family = "Gerke",
             role = c("aut"),
             email = "tgerke@mail.harvard.edu",
             comment = c(ORCID = "0000-0002-9500-8907")))
Description: Risk ratios and risk differences are estimated using regression 
  models that allow for binary, categorical, and continuous exposures and 
  confounders. Implemented are marginal standardization after fitting logistic 
  models (g-computation) with delta-method and bootstrap standard errors, 
  Miettinen's case-duplication approach (Schouten et al. 1993, 
  <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical 
  variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting 
  values from Poisson models (Spiegelman and Hertzmark 2005, 
  <doi:10.1093/aje/kwi188>), and others.
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
URL: https://stopsack.github.io/risks/
BugReports: https://github.com/stopsack/risks/issues
Suggests: 
    addreg,
    covr,
    knitr,
    logbin,
    MASS,
    rmarkdown,
    testthat
Imports: 
    boot,
    bcaboot,
    broom,
    dplyr,
    purrr,
    rlang,
    sandwich,
    stats,
    tibble,
    tidyr
VignetteBuilder: knitr
Depends: 
    R (>= 3.5.0)