julia.model: Fit a julia gibbs sampler (given by s.code)
In alexpkeil1/wellwise: WELL Water, Infants, and a Safe Environment: simulations

Fit a julia model to a single data set

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julia.model(j.code, iter, warmup, chains, sdat = sdat, fl = tempfile(),
  jinstance = NULL, cleanafter = FALSE, verbose = TRUE,
  debug = FALSE, addpackages = TRUE, juliabin = NULL)

`j.code`	name of a character string with a stan model
`iter`	Number of "sweep" iterations, or iterations after the burnin/warmup
`warmup`	warmup (stan) / n.adapt (jags) / burnin (julia). Number of iterations to allow for adaptation of MCMC parameters/burnin
`chains`	Number of parallel MCMC chains (default 4)
`sdat`	list of data created from
`fl`	Filename to output model results for single run (useful for debugging)
`jinstance`	existing julia_setup() instance
`cleanafter`	should the extra workers be killed after running?
`verbose`	print extra stuff
`debug`	print extra debugging info? FALSE
`addpackages`	install/reinstall julia packages? TRUE (default) is slower, but should be done the first time running each model. Afterwards, can be set to FALSE to save a good chunk of computing time.
`juliabin`	NULL or path to directory containing the julia binary file e.g. /Applications/Julia-1.1.app/Contents/Resources/julia/bin/ on mac C:/Users/<username>]/AppData/Local/Julia-1.1.0/bin/ on windows 10