GetNeg2loglikelihoodREML: GetNeg2loglikelihoodREML

In cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

GetNeg2loglikelihoodREML

Description

compute the negative 2 log REML likelihood based on theta

Usage

GetNeg2loglikelihoodREML(theta, par.pos, locs, x_covariates, x_betas,
smooth.limits, z, n, lambda, safe = TRUE)

Arguments

theta	(numeric vector) a vector with parameters values.
par.pos	(list) par.pos list.
locs	(matrix) spatial location matrix.
x_covariates	(data.frame) design matrix.
x_betas	(matrix) or (data.frame) design matrix for the spatial mean.
smooth.limits	(numeric vector) smooth.limits.
z	(numeric vector) a vector of contrasts.
n	(integer) dim(z)[1].
lambda	(numeric) regularization parameter.
safe	(TRUE/FALSE) if TRUE returns a large pre-defined value under Cholesky errors. Default TRUE.

Value

value

Author(s)

Federico Blasi

cocons documentation built on April 4, 2025, 3:21 a.m.