cbahlai / dynamic_shift_detector Goto Github PK

• abstract
• intro
• methods
• results
• discussion
• conclusions

You know, if you want to.

• cull out redundancy in figure captions
• update README to include file descriptions
• add panel labels to monarch fig
• add panel labels to harmonia fig
• apply @ezipkin's edits
• edit down to MEE word limit
• check over reference formatting
• submit to biorXiv
• add biorXive link to README
• submit to MEE
• caption for new figure

• run more simulations
• turn monarch figures into pdfs
• clean updated ladybeetles data + incorporate into database
• run new ladybeetle data in RSdetector
• produce figures with ladybeetle data
• update simulation figures with coord_cartesian() to eliminate clipping issues
• create a set of plots that reverse sim data- for output x, what is the probability of x?

I have not gone through the code much, so this may already be a feature...

Do your models allow for irregular sampling between time points?

Sprat_Catch.zip

Hi,

I have a dataset with catch values from Sprat, and I want to detect the major changes(large, abrupt, persistent) in my dataset.
But, I have some errors:

nbreaker(test1)
Error in nlsModel(formula, mf, start, wts) :
singular gradient matrix at initial parameter estimates
AICtally(test1)
Error in nlsModel(formula, mf, start, wts) :
singular gradient matrix at initial parameter estimates
allfits(test1)
Error in nlsModel(formula, mf, start, wts) :
singular gradient matrix at initial parameter estimates

I look forward for some tips.

All the best !
George