Package: merTools
Title: Tools for Analyzing Mixed Effect Regression Models
Version: 0.3.0
Authors@R: c(person(c("Jared", "E."), "Knowles", email = "jknowles@gmail.com",
    role = c("aut", "cre")), person("Carl", "Frederick", email="carlbfrederick@gmail.com",
    role = c("aut")))
Description: Provides methods for extracting results from mixed-effect model
  objects fit with the 'lme4' package. Allows construction of prediction intervals
  efficiently from large scale linear and generalized linear mixed-effects models.
Depends: R (>= 3.0.2), arm, lme4 (>= 1.1-11), methods, dplyr
Suggests: testthat, knitr, rmarkdown, foreach, parallel, rstanarm
Imports: mvtnorm, DT, shiny, abind, ggplot2, blme, broom
License: GPL (>= 2)
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
BugReports: https://www.github.com/jknowles/merTools
NeedsCompilation: no
Packaged: 2016-12-12 15:16:04 UTC; Jared
Author: Jared E. Knowles [aut, cre],
  Carl Frederick [aut]
Maintainer: Jared E. Knowles <jknowles@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-12 18:30:31
Built: R 3.4.1; ; 2018-04-09 12:45:30 UTC; windows
