llEM: non-observed count log-likelihood of predators preferances
In roualdes/spiders: Fits Predator Preferences Model

log-likelihood for non-observed count data; model with EM

1	llEM(Zdst, Ydst, lambda, gamma, J, I, c = NULL)

`Zdst`	matrix of sums of indicators whether or not predator ate prey species s during occurrence t; TxS
`Ydst`	matrix sum of number of caught prey species s during occurrence t; 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