ind_like: Individual locally linearized likelihood function
In larslau/pavpop: Phase and amplitude varying population pattern models

Computes the linearized likelihood for a single functional sample given the residual around a given warp and the corresponding Jacobians.

1	ind_like(param, sigma_sq, n_par, r, Zi, amp_cov, warp_cov, t, tw)

`param`	variance parameters.
`sigma_sq`	maximum likelihood estiamte for sigma_sq.
`n_par`	vector consisting of number of variance parameters for each covariance function.
`r`	residual.
`Zi`	Jacobian in the warps of the mean function around the given warp.
`amp_cov`	function for generating amplitude covariance matrix.
`warp_cov`	function for generating warp covariance function
`t`	time variable corresponding to r.
`tw`	anchor points for warp variables.