Package: miWQS
Type: Package
Title: Multiple Imputation Using Weighted Quantile Sum Regression
Version: 0.4.2
Authors@R: c(person("Paul M.", "Hargarten", email = "hargartenp@vcu.edu", role = c("aut", "cre")),      
           person("David C.", "Wheeler", email = "david.wheeler@vcuhealth.org ", role = c("aut","rev","ths")) )
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>
Depends: R (>= 3.5.0), methods, parallel, stats, utils
Imports: coda (>= 0.19-2), condMVNorm (>= 2015.2-1), ggplot2 (>=
        3.1.0), glm2 (>= 1.2.1), Hmisc (>= 4.1-1), invgamma (>= 1.1),
        MASS (>= 7.3-49), matrixNormal (>= 0.0.0), MCMCpack (>= 1.4-4),
        mvtnorm (>= 1.0-10), purrr (>= 0.3.2), rlist (>= 0.4.6.1),
        Rsolnp (>= 1.16), survival (>= 3.1-12), tidyr (>= 1.0.0),
        tmvmixnorm (>= 1.0.2), tmvtnorm (>= 1.4-10), truncnorm (>=
        1.0-8)
Suggests: formatR, GGally (>= 1.4.0), knitr (>= 1.23), mice (>= 3.3.0),
        norm, pander (>= 0.6.3), rmarkdown (>= 1.13), scales (>=
        1.0.0), sessioninfo (>= 1.1.1), spelling (>= 2.0), testthat (>=
        2.0.1), wqs (>= 0.0.1)
Description: The `miWQS` package handles the uncertainty due to below the detection limit in a correlated component mixture problem.  Researchers want to determine if a set/mixture of continuous and correlated components/chemicals is associated with an outcome and if so, which components are important in that mixture. These components share a common outcome but are interval-censored between zero and low thresholds, or detection limits, that may be different across the components. The `miWQS` package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>).  The imputation models are: bootstrapping imputation (Lubin et.al (2004) <doi:10.1289/ehp.7199>), univariate Bayesian imputation (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>), and multivariate Bayesian regression imputation.  
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Language: en-US
BugReports: https://github.com/phargarten2/miWQS/issues
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-20 23:28:52 UTC; pablo
Author: Paul M. Hargarten [aut, cre],
  David C. Wheeler [aut, rev, ths]
Repository: CRAN
Date/Publication: 2021-01-21 10:40:02 UTC
