Computes the linearized likelihood given the residual around a given warp and the corresponding Jacobians.
1 | like_clust(param, n_par, r, Zis, amp_cov, warp_cov, t, tw, observation_weights)
|
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. |
observation_weights |
vector of weights for the individual functional samples to be applied to the likelihood. This is useful for clustering analysis. |
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