sigmasq: Variance scale estimate from locally linearized likelihood...
In larslau/pavpop: Phase and amplitude varying population pattern models

Description Usage Arguments Functions

Estimates the common variance scale of all random effects in the model from the linearized likelihood given the residual around a predicted warp and the corresponding Jacobians.

1
2
3

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

sigmasq_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.