like: Locally linearized likelihood function
In larslau/pavpop: Phase and amplitude varying population pattern models

Computes the linearized likelihood given the residual around a given warp and the corresponding Jacobians.

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like(param, n_par, r, Zis, amp_cov, warp_cov, t, tw)

like_amp(param, n_par, r, Zis, amp_cov, warp_cov, amp_fct, t, tw)

`param`	variance parameters.
`n_par`	vector consisting of number of variance parameters for each covariance function.
`r`	residual.
`Zis`	list of Jacobians 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`	array of time variables corresponding to r.
`tw`	anchor points for warp variables.
`amp_fct`	functional basis that amplitude variation should be expressed in. If used, it is automatically assumed that iid. Gaussian noise is present in the data.