ll: observed count log-likelihood of predator preferances model
In spiders: Fits Predator Preferences Model

log-likelihood of fully observed count data predator preferances model

1	ll(Xdst, Ydst, lambda, gamma, J, I, c = NULL)

`Xdst`	matrix of sums of number of eaten prey species s during occurrence t; rows indexed by time and cols indexed by prey species, TxS
`Ydst`	matrix sum of number of caught prey species s during occurrence t; rows indexed by time and cols indexed by prey species, TxS
`lambda`	matrix of parameters representing rates predator ate prey species s in time period t; TxS
`gamma`	matrix of parameters representing rates traps caught prey species s in time period t; TxS
`J`	vector of predators caught in each time period
`I`	vector of number of days all traps were left out in a given time period
`c`	scalar in null hypotheses