Merge pull request #15 from EcoForecast/master

OMG! Bugs fixed!! LOLOLOLOLOLOLOL!
Merge pull request #16 from EcoForecast/master

Pulling some more of Angela's changes
Fixed stdevs to be 1/sqrt(precision) instead of 1/precision [oops].
Merge branch 'master' of https://github.com/dgianotti/PhenologyForecast
Merge pull request #72 from dgianotti/master

Fixed bugs: stdev as 1/sqrt(precision) rather than 1/precision [oops!].
Made some more changes to the scaling...

changed the function so that it is not recursive.
Merge pull request #73 from AngelaRigden/master

Made some more changes to the scaling...
Merge pull request #11 from EcoForecast/master

updating repository
fixed a bug
Merge pull request #74 from AngelaRigden/master

Fixed bug (< should be <=)
Scaled the uncertainty by the same ratio we scaled the data. Everything looks better... the uncertainty follows ndvi way better.
Merge pull request #75 from AngelaRigden/master

Scaled the uncertainty by the same ratio we scaled the data. Everything ...
Now chopping off bad data from Howland
Merge pull request #76 from dgianotti/master

Now chopping off bad data from Howland
Merge pull request #17 from EcoForecast/master

Update with scaled uncertainty.
changes MCMC Diagnostics for current output, makes it a function called in run.SS.model. eliminates correlation statistics because they don't really make sense to compute for the model
adds MCMC diagnostics to state space plot output pdf, we use this as justification for burn in
Merge pull request #18 from EcoForecast/master

Diana's MCMC diagnostics update
Now performs MCMC diagnostics, also running for 10000 iterations with 10000 iteration burn-in
Merge pull request #77 from dgianotti/master

Now does MCMC diagnostics, changed # iterations to 10,000; also burn-in -> 10,000