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DESCRIPTION
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DESCRIPTION
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Package: merTools
Title: Tools for Analyzing Mixed Effect Regression Models
Version: 0.6.2
Authors@R: c(
person(c("Jared", "E."), "Knowles", email = "jared@civilytics.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.
This method draws from the simulation framework used in the Gelman and Hill (2007) textbook:
Data Analysis Using Regression and Multilevel/Hierarchical 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: 7.3.0
Encoding: UTF-8
BugReports: https://github.com/jknowles/merTools
Config/testthat/edition: 3
Config/testthat/parallel: true