dNBllcol {RCM} | R Documentation |
A score function for the estimation of the column scores in an unconstrained RC(M) model
dNBllcol( beta, X, reg, thetas, muMarg, k, p, n, colWeights, nLambda, cMatK, allowMissingness, naId, ... )
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 |
allowMissingness |
A boolean, are missing values present |
naId |
The numeric index of the missing values in X |
... |
further arguments passed on to the jacobian |
A vector of length p+1+1+(k-1) with evaluations of the derivative of lagrangian