c(person("Zhengzheng", "Zhang", role = c("aut", "cre"),email
= "zhengzheng236@gmail.com"), person("Chris", "Charlton", role
= c("aut", "cre"),email ="c.charlton@bristol.ac.uk"),
person("Richard", "Parker", role = "aut"), person("George",
"Leckie", role = "aut"), person("William", "Browne", role =
"aut"))

Zhengzheng Zhang,
Chris Charlton,
Richard Parker,
George Leckie,
William Browne
R2MLwiN is an R command interface to the MLwiN multilevel
modelling software package, allowing users to fit multilevel models using
MLwiN from within the R environment.

c(person("Zhengzheng", "Zhang", role = c("aut", "cre"),email =
"zhengzheng236@gmail.com"), person("Chris", "Charlton",  role = "aut"),
person("Richard", "Parker", role = "aut"), person("George", "Leckie", role
= "aut"), person("William", "Browne", role = "aut"))
Zhengzheng Zhang [aut, cre],
Chris Charlton [aut],
Richard Parker [aut],
George Leckie [aut],
William Browne [aut]

R (>= 2.15.0), stats, stats4, methods, lattice, coda (>=
0.16-1)
An R command interface to the MLwiN multilevel
modelling software package.

An R command interface to the 'MLwiN' multilevel
modelling software package.

Matrix, foreign (>= 0.8-46), rbugs (>= 0.5-7), digest (>=
0.6.5), foreach, parallel, doParallel

R (>= 2.15.0), stats, stats4, methods, lattice, memisc, coda
(>= 0.16-1)
Matrix, foreign (>= 0.8-46), rbugs (>= 0.5-7), digest (>=
0.6.5), texreg, foreach, parallel, doParallel

Matrix, foreign (>= 0.8-46), R2WinBUGS, digest (>= 0.6.5),
texreg, foreach, parallel, doParallel

methods, stats, stats4, Matrix, foreign (>= 0.8-46),
R2WinBUGS, digest (>= 0.6.5), texreg, foreach, parallel,
doParallel, coda (>= 0.16-1), lattice, memisc, broom, tibble

originally written as R2WinBUGS by Andrew Gelman <gelman@stat.columbia.edu>;
changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de>
and Uwe Ligges <ligges@statistik.tu-dortmund.de>.
With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si>
and Jouni Kerman <kerman@stat.columbia.edu>.
Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Using this package,
it is possible to call a BUGS model, summarize inferences and
convergence in a table and graph, and save the simulations in arrays for easy access
in R.