Here are some tips on installing JAGS on your own PC.
First you need to install the JAGS program:
- Windows/Mac: download installer from https://sourceforge.net/projects/mcmc-jags/files/
- Linux: see details at http://mcmc-jags.sourceforge.net/
% adapted Philippe Dreuw and Thomas Deselaers | |
% further adapted from edits by James Malcolm | |
% finally, Shawn Lankton made some edits (www.shawnlankton.com) | |
% and I added some quick changes - Dennis Prangle | |
\ProvidesPackage{beamerthemeNCLDennis} | |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
\mode<presentation> | |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
# Reference class objects for gradient descent algorithms. | |
# The "step" method take an estimated gradient as argument | |
# and returns an increment to apply to the current parameter values. | |
# See end of file for an example. | |
##Algorithm which does no adaptation | |
noAdapt = setRefClass("noAdapt", | |
fields = list(), | |
methods = list( | |
step = function(gradientEst) { |
Here are some tips on installing JAGS on your own PC.
First you need to install the JAGS program: