ind_like: Individual locally linearized likelihood function

Description Usage Arguments

Description

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

Usage

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

Arguments

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.


larslau/pavpop documentation built on June 14, 2019, 2:18 p.m.