dNBabundsOld: A score function for the column components of the...
In CenterForStatistics-UGent/RCM: Fit row-column association models with the negative binomial distribution for the microbiome
dNBabundsOld R Documentation
A score function for the column components of the independence model
(mean relative abundances)
Description
A score function for the column components of the independence model
(mean relative abundances)
Usage
dNBabundsOld(beta, X, reg, thetas, allowMissingness, naId)
Arguments
beta
a vector of length p with current abundance estimates
X
a n-by-p count matrix
reg
a vector of length n with library sizes estimates
thetas
a n-by-p matrix with overdispersion estimates in the rows
allowMissingness
A boolean, are missing values present
naId
The numeric index of the missing values in X
Value
a vector of length p with evaluations of the score function
CenterForStatistics-UGent/RCM documentation built on April 24, 2023, 8:26 p.m.
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| dNBabundsOld | R Documentation |
A score function for the column components of the independence model (mean relative abundances)
Description
A score function for the column components of the independence model (mean relative abundances)
Usage
dNBabundsOld(beta, X, reg, thetas, allowMissingness, naId)
Arguments
beta |
a vector of length p with current abundance estimates |
X |
a n-by-p count matrix |
reg |
a vector of length n with library sizes estimates |
thetas |
a n-by-p matrix with overdispersion estimates in the rows |
allowMissingness |
A boolean, are missing values present |
naId |
The numeric index of the missing values in X |
Value
a vector of length p with evaluations of the score function
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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