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Package for fitting and analyzing reduced/grouped N Mixture models.
Currently we allow fixed omega or fixed gamma. Do we need to implement fixed omega and fixed gamma? Or return "error: no population dynamics used, use closed population models instead"?
As λ increases, the density at any given x is very very small, approaching zero. R rounds these values to zero, making optimization impossible. Need to investigate adding arbitrary precision arithmetic to the likelihood functions, and an alternative to optim which can make use of arbitrary precision arithmetic.
Likely will use package: Rmpfr
For the open likelihood function:
Currently, K and reduction factor can only be site dependent or constant. To allow for time dependent K and red would require an overhaul of the likelihood function (matrices would need to be zero padded to have same dimensions).
will probably require an if/else(PARALLIZE) and a %parfor%, and some refactoring for the mpfr sapply
Closed Likelihood:
Open Likelihood
lurf() needs explain SS column of returned data.frame - as well as how it pertains to sorting method for red.
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