c(person(given = "Ting", family = "Wang",
role = c("aut", "cre"),
email = "szpku.grady@gmail.com"),
person(given = "Edgar", family = "Merkle",
role  = "aut",
email = "merklee@missouri.edu",
comment = c(ORCID = "0000-0001-7158-0653")),
person(given = "Yves", family = "Rosseel",
role = "ctb")
)

Tools for Analyzing Mixed Effect Regression Models
c(person(c("Jared", "E."), "Knowles", email = "jknowles@gmail.com",
role = c("aut", "cre")), person("Carl", "Frederick", email="carlbfrederick@gmail.com",
role = c("aut")))
Provides methods for extracting results from merMod objects in the lme4 package. Allows construction of prediction intervals efficiently from large scale LMM and GLMM models.
mvtnorm, DT, shiny, plyr, abind, ggplot2
Jared E. Knowles [aut, cre],
Carl Frederick [aut]

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.
testthat, knitr, rmarkdown, dplyr, foreach, parallel
mvtnorm, DT, shiny, abind, ggplot2, blme, broom

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.

testthat, knitr, rmarkdown, foreach, parallel, rstanarm

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")))
testthat, knitr, rmarkdown, parallel, rstanarm, Amelia, nlme
mvtnorm, DT, shiny, abind, ggplot2, blme, broom, foreach
Jared E. Knowles [aut, cre],
Carl Frederick [aut],
Alex Whitworth [ctb]

testthat, knitr, rmarkdown, parallel, nlme, future.apply,
rstanarm, Amelia, DT
dplyr, mvtnorm, foreach, shiny, abind, ggplot2, blme, broom,

dplyr, mvtnorm, foreach, shiny, abind, ggplot2, blme,
broom.mixed,