Package: stdReg2
Type: Package
Title: Regression Standardization for Causal Inference
Version: 1.0.7
Authors@R: 
    c(person(given = "Michael C",
             family = "Sachs",
             role = c("aut", "cre"),
             email = "sachsmc@gmail.com"),
      person(given = "Arvid", 
             family = "Sjölander", role = c("aut")), 
      person(given = "Erin E", 
      family = "Gabriel", 
      role = "aut"),
      person(given = "Johan Sebastian", 
            family = "Ohlendorff", role = "aut"), 
      person(given = "Adam", 
            family = "Brand", role = "aut"))
URL: https://sachsmc.github.io/stdReg2/,
        https://github.com/sachsmc/stdReg2
BugReports: https://github.com/sachsmc/stdReg2/issues
Date: 2026-05-13
Description: Contains more modern tools for causal inference using regression 
      standardization. Four general classes of models are implemented; generalized 
      linear models, conditional generalized estimating equation models, 
      Cox proportional hazards models, and shared frailty gamma-Weibull models. 
      Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>. 
      Also includes functionality for doubly robust estimation for generalized linear models 
      in some special cases, and the ability to implement custom models. 
License: AGPL (>= 3)
Encoding: UTF-8
Imports: data.table, drgee, generics, survival, sandwich
Suggests: causaldata, knitr, nnet, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-14 06:21:35 UTC; micsac
Author: Michael C Sachs [aut, cre],
  Arvid Sjölander [aut],
  Erin E Gabriel [aut],
  Johan Sebastian Ohlendorff [aut],
  Adam Brand [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-14 06:50:02 UTC
