Description Usage Arguments Value
View source: R/F_JacCol_constr.R
Jacobian of the constrained analysis with linear response function.
1 | JacCol_constr(betas, X, reg, theta, muMarg, psi, allowMissingness, naId)
|
betas |
a vector of v parameters of the response function of a single taxon |
X |
the count vector of length n |
reg |
a n-by-v matrix of regressors |
theta |
The dispersion parameter of this taxon |
muMarg |
offset of length n |
psi |
a scalar, the importance parameter |
allowMissingness |
A boolean, are missing values present |
naId |
The numeric index of the missing values in X Even though this approach does not imply normalization over the parameters of all taxa, it is very fast and they can be normalized afterwards |
The jacobian, a square symmetric matrix of dimension v
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