LR_nb_Jac {RCM}R Documentation

A function that returns the Jacobian of the likelihood ratio

Description

A function that returns the Jacobian of the likelihood ratio

Usage

LR_nb_Jac(Alpha, X, CC, responseFun = c("linear", "quadratic",
  "nonparametric", "dynamic"), psi, NB_params, NB_params_noLab, d, alphaK,
  k, centMat, nLambda, nLambda1s, thetaMat, muMarg, n, ncols, preFabMat,
  envGradEst, ...)

Arguments

Alpha

a vector of length d + k*(2+(k-1)/2), the environmental gradient plus the lagrangian multipliers

X

the n-by-p count matrix

CC

a n-by-d covariate vector

responseFun

a character string indicating the type of response function

psi

a scalar, an importance parameter

NB_params

Starting values for the NB_params

NB_params_noLab

Starting values for the NB_params without label

d

an integer, the number of covariate parameters

alphaK

a matrix of environmental gradients of lower dimensions

k

an integer, the current dimension

centMat

a nLambda1s-by-d centering matrix

nLambda

an integer, number of lagrangian multipliers

nLambda1s

an integer, number of centering restrictions

thetaMat

a matrix of size n-by-p with estimated dispersion parameters

muMarg

an n-by-p offset matrix

n

an integer, the number of rows of X

ncols

a scalar, the number of columns of X

preFabMat

a prefabricated matrix

envGradEst

a character string, indicating how the environmental gradient should be fitted. 'LR' using the likelihood-ratio criterion, or 'ML' a full maximum likelihood solution

...

Further arguments passed on to other functions

Value

A symmetric matrix, the evaluated Jacobian


[Package RCM version 1.2.0 Index]