clean up model terminology

[drbenvincent]

Currently, for each model we have hierarchical, mixed, and separate subtypes. While this is clear in my mind, I think this is probably quite confusing and could be explained better.

Need to convert this into more typical terminology. At the moment I am thinking of specifying these models in terms of:

• fixed effects
• random effects (currently only by-participant)
• hyperpriors.

So we have...

Model name	Fixed Effects	Random Effects (by-participant)	Hyper-priors (thus shrinkage to group mean)
separateLogK	-	logk, alpha, epsilon	-
mixedLogK	-	logk, alpha, epsilon	alpha, epsilon
hierarchicalLogK	-	logk, alpha, epsilon	logk, alpha, epsilon
separateME	-	m, c, alpha, epsilon	-
mixedME	-	m, c, alpha, epsilon	alpha, epsilon
hierarchicalME	-	m, c, alpha, epsilon	m, c, alpha, epsilon (model focussed upon in the paper)

This way of viewing things opens up many exciting possibilities (generative programming)

• [x] add this table to the wiki

Refactor JAGS models to make similarities/differences clearer (in prep for auto-generation)

• [x] 'secret' ExpPower mode
• [x] Exp1
• [x] LogK
• [x] ME

[drbenvincent]

much easier to see how separate / mixed / hierarchical model code's are similar/different