dNBllcol_constr: The score function of the response function for 1 taxon at...
In CenterForStatistics-UGent/RCM: Fit row-column association models with the negative binomial distribution for the microbiome
View source: R/F_dNBllcol_constr.R
dNBllcol_constr R Documentation
The score function of the response function for 1 taxon at the time
Description
The score function of the response function for 1 taxon at the time
Usage
dNBllcol_constr(betas, X, reg, theta, muMarg, psi, allowMissingness, naId)
Arguments
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
Value
A vector of length v with the evaluation of the score functions
CenterForStatistics-UGent/RCM documentation built on April 24, 2023, 8:26 p.m.
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View source: R/F_dNBllcol_constr.R
| dNBllcol_constr | R Documentation |
The score function of the response function for 1 taxon at the time
Description
The score function of the response function for 1 taxon at the time
Usage
dNBllcol_constr(betas, X, reg, theta, muMarg, psi, allowMissingness, naId)
Arguments
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 |
Value
A vector of length v with the evaluation of the score functions
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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