WebThe autorun.jags function reads, compiles, and updates a JAGS model based on a model representation (plus data, monitors and initial values) input by the user. The autoextend.jags function takes an existing runjags-class object and extends the simulation as required. http://www.jkarreth.net/files/Lab3-4_JAGS-BUGS.html
8 JAGS – Just Another Gibbs Sampler - GitHub Pages
WebApr 15, 2024 · The run.jags function reads, compiles, and updates a JAGS model based on a model representation (plus data, monitors and initial values) input by the user. The model can be contained in an external text file, or a character vector within R. The autorun.jags function takes an existing runjags-class object and extends the simulation. WebFeb 8, 2012 · Some functions and assignments for the jags call: data <- list ("lim"=lim) inits <- list (mu=rnorm (1),tau=rgamma (1,.01,.01),t=as.vector (apply (lim,1,mean))) last part is to ensure the starting value is between the upper and lower limit each chain will start at the same place for t but this is just for this case params <- c ("mu","tau") ltc stewart
jags function - RDocumentation
WebAug 20, 2010 · To set up your system for using JAGS, there are two very easy steps: Go download the current version of JAGS (2.1.0 as of 8/20/2010). Install the current rjags package from CRAN (2.1.0-6 as of 8/20/2010). Once you’ve done that, a simple call to library ('rjags') will be enough to run JAGS from inside of R. WebAug 20, 2010 · jags.model() function. We specify the JAGS model specification file and the data set, which is a named list where the names must be those used in the JAGS model specification file. Finally, we tell the system how many parallel chains to run. WebApr 15, 2024 · run.jags( model, monitor = NA, data = NA, n.chains = NA, inits = NA, burnin = 4000, sample = 10000, adapt = 1000, noread.monitor = NULL, datalist = NA, initlist = NA, … jd 3520 for sale tractor house