DESCRIPTION

Package: merTools
Title: Tools for Analyzing Mixed Effect Regression Models
Version: 0.5.2
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")),
    person("Alex", "Whitworth", email="whitworth.alex@gmail.com", role = c("ctb")))
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
Suggests:
    testthat,
    knitr,
    rmarkdown,
    parallel,
    nlme,
    future.apply,
    rstanarm,
    Amelia,
    DT
Imports:
    dplyr,
    mvtnorm,
    foreach,
    shiny,
    abind,
    ggplot2,
    blme,
    broom.mixed,
    Matrix
License: GPL (>=2)
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Encoding: UTF-8
BugReports: https://www.github.com/jknowles/merTools