Added the arb units flowering data I used in NSpaper
updated models to include quadratic, and redid sigmoid to 4 params
Some hacking around changes: Put in HMC code to nested.R. Trying to get flowering to work as normal then to compare with HMC
Messed about trying to find a bug in makeMcmcStep - this version gives warnings but works correctly
Coded the Baranyi model and altered llhood fn - UNTESTED
Major dev: completed HMC routine. Seems to work with linearModel despite lack of my confidence on a number of things e.g. gradient method, which is now in models.R. flowering-example.R updated to call gradient method, and then when it calls NS you can test with various combos of gradient and mcmcMethod to ensure I do the right thing.
nested.R
---Added parameter bounds check in HMC!
---Minor comments

flowering-example.R
---Improved plotting in example 2.
---Got example 2 working with MH and HMC.

models.R
---Corrected sigmoid model!
Optimisation to now pass the already calculated loglikelihood value to the HMC routine to avoid calculating it again in there. Gives very little speed up though ;-). Presumably would give more if the llFun took a while to compute e.g. ODEs
Fixed small indentation problem