dNBllcol {RCM}R Documentation

A score function for the estimation of the column scores in an unconstrained RC(M) model

Description

A score function for the estimation of the column scores in an unconstrained RC(M) model

Usage

dNBllcol(beta, X, reg, thetas, muMarg, k, p, n, colWeights, nLambda, cMatK,
  ...)

Arguments

beta

vector of length p+1+1+(k-1): p row scores, 1 centering, one normalization and (k-1) orhtogonality lagrangian multipliers

X

the nxp data matrix

reg

a nx1 regressor matrix: outer product of rowScores and psis

thetas

nxp matrix with the dispersion parameters (converted to matrix for numeric reasons)

muMarg

the nxp offset

k

an integer, the dimension of the RC solution

p

an integer, the number of taxa

n

an integer, the number of samples

colWeights

the weights used for the restrictions

nLambda

an integer, the number of restrictions

cMatK

the lower dimensions of the colScores

...

further arguments passed on to the jacobian

Value

A vector of length p+1+1+(k-1) with evaluations of the derivative of lagrangian


[Package RCM version 1.2.0 Index]