Package: StackImpute
Title: Tools for Analysis of Stacked Multiple Imputations
Version: 0.1.0
Authors@R: c(person("Lauren", "Beesley", email = "lbeesley@umich.edu", role = c("aut")),
             person("Mike", "Kleinsasser", email = "mkleinsa@umich.edu", role = c("cre")))
Description: Provides methods for inference using stacked multiple 
    imputations augmented with weights. The vignette provides example R code for 
    implementation in general multiple imputation settings. For additional details 
    about the estimation algorithm, we refer the reader to Beesley, Lauren J and 
    Taylor, Jeremy M G (2020) “A stacked approach for chained equations multiple 
    imputation incorporating the substantive model” <doi:10.1111/biom.13372>, 
    and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random 
    missingness through imputation stacking” <arXiv:2101.07954>.
Depends: R (>= 3.6.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.1.1
Imports: sandwich, zoo, mice, dplyr, MASS, magrittr, boot
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-08 18:16:12 UTC; mkleinsa
Author: Lauren Beesley [aut],
  Mike Kleinsasser [cre]
Maintainer: Mike Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2021-09-10 11:10:02 UTC
Built: R 4.1.0; ; 2021-09-11 12:09:51 UTC; unix
