cl_l: Composite Likelihood Calculation for Spatial Ordinal Data...

In clordr: Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data

Composite Likelihood Calculation for Spatial Ordinal Data without Replications (for implmentation)

Description

cl_l Calculate the negative composite log-likelihood value for a particular subject given parameter value and other input variables

Usage

cl_l(theta, y, X, dwdv, cmwdv, lt, wn, base, J, p)

Arguments

theta	a vector of parameter value
y	a vector of observation for the subject.
X	covariate for the particular subject
dwdv	corresponding distance of selected pair
cmwdv	combination of the pairs included into the composite likelihood
lt	number of parameter (i.e. length of theta)
wn	number of pairs
base	identity matrix with dimension J+1
J	number of category among (ALL) observed response.
p	number of covariate (i.e. number of column of X)

Value

cl returns a list: composite log-likelihood value and a vector of first-order partial derivatives for theta.

clordr documentation built on March 25, 2022, 1:06 a.m.