dNBllrow {RCM} | R Documentation |
A score function of the NB for the row scores
dNBllrow( beta, X, reg, thetas, muMarg, k, n, p, rowWeights, nLambda, rMatK, allowMissingness, naId, ... )
beta |
a vector of of length n + k +1 regression parameters to optimize |
X |
the data matrix of dimensions nxp |
reg |
a 1xp regressor matrix: outer product of column scores and psis |
thetas |
nxp matrix with the dispersion parameters (converted to matrix for numeric reasons) |
muMarg |
an nxp offset matrix |
k |
a scalar, the dimension of the RC solution |
n |
a scalar, the number of samples |
p |
a scalar, the number of taxa |
rowWeights |
a vector of length n, the weights used for the restrictions |
nLambda |
an integer, the number of lagrangian multipliers |
rMatK |
the lower dimension row scores |
allowMissingness |
A boolean, are missing values present |
naId |
The numeric index of the missing values in X |
... |
Other arguments passed on to the jacobian |
A vector of length n + k +1 with evaluations of the derivative of the lagrangian