originally written 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>.  Ported to S-PLUS
by Insightful Corp.

originally written by Andrew Gelman <gelman@stat.columbia.edu>;
changes and packaged by Sibylle Sturtz <sturtz@statistik.uni-dortmund.de>
and Uwe Ligges <ligges@statistik.uni-dortmund.de>.
With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si>
and Jouni Kerman <kerman@stat.columbia.edu>.
Ported to S-PLUS by Insightful Corp.

Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'
Invoke a 'BUGS' model in 'OpenBUGS' or 'WinBUGS', a class "bugs" for 'BUGS'
results and functions to work with that class.
Function write.model() allows a 'BUGS' model file to be written.
The class and auxiliary functions could be used with other MCMC programs, including 'JAGS'.
OpenBugs for functions bugs() and openbugs() or
WinBUGS 1.4 for function bugs()

A series of functions to call AD Model Builder (i.e.,
compile and run models) from within R, read the results back
into R as "admb" objects, and provide standard accessors (i.e.
coef(), vcov(), etc.)
bbmle, lattice, coda, lme4, ggplot2, testthat, knitr
'R2admb-package.R' 'base-funs.r' 'check_section.R' 'do_admb.r'
'mcmc.control.r' 'plot.admb_hist.r' 'read-funs.r' 'readfit.R'
'run.control.r' 'setup_admb.R' 'std_accessor.r'
'utility-funs.R' 'write-funs.r' 'extract_gradient.r'
'find_large_cor.r' 'get_version.r'

A series of functions to call AD Model Builder (i.e.,
compile and run models) from within R, read the results back
into R as 'admb' objects, and provide standard accessors (i.e.
coef(), vcov(), etc.)

A series of functions to call 'AD Model Builder' (i.e.,
compile and run models) from within R, read the results back
into R as 'admb' objects, and provide standard accessors (i.e.
coef(), vcov(), etc.)
bbmle, lme4, ggplot2 (>= 2.2.0), testthat, knitr