FFT.optim: Maximize the log-likelihood in 'logFFT'
In jasonxu90/bdsem: Analysis of discretely observed Birth-Death-Shift processes

FFT.optim maximizes the log-likelihood using optim, with hessian = TRUE.

1 2	FFT.optim(simDataList, u, initGuess, initList, s1.seq, s2.seq)

`initGuess`	A vector containing the initial guess of birth, shift, and death rates
`param`	A vector of three numbers containing the birth, shift, and death rate respectively
`u`	A number, the observation interval length
`simDataList`	A list of matrices in the format returned by `makedata.simple`
`initList`	A vector of possible initial populations
`s1.seq`	A vector of complex arguments evenly spaced along the unit circle
`s2.seq`	A vector of complex arguments evenly spaced along the unit circle