NBjacobianRow {RCM} | R Documentation |
A jacobian function of the NB for the row scores
NBjacobianRow(beta, X, reg, thetas, muMarg, k, n, p, rowWeights, nLambda, rMatK, preFabMat, Jac)
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 |
preFabMat |
a prefab matrix, (1+X/thetas) |
Jac |
an empty Jacobian matrix |
a symmetric jacobian matrix of size n+k + 1