betaAligned: Align ASVs proportions in topics across chain.
In PratheepaJ/diffTop: Differential topic analysis using latent Dirichlet allocation
Description
Usage
Arguments
Value
Description
Align ASVs proportions in topics across chain.
Usage
1
betaAligned(beta, K, aligned, iterUse = 1000, chain = 4)
Arguments
beta
array. three dimensional array (iterations * topic * ASVs).
K
integer. number of topics.
aligned
matrix. A matrix of topic assignment for each chain. output of alignmentMatrix().
iterUse
integer. number of iterations used in each chain after subtracting warm-up samples.
chain
integer. number of chains used in MCMC.
Value
array. three dimensional array.
PratheepaJ/diffTop documentation built on Dec. 18, 2021, 7:48 a.m.
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Description Usage Arguments Value
Description
Align ASVs proportions in topics across chain.
Usage
1 | betaAligned(beta, K, aligned, iterUse = 1000, chain = 4)
|
Arguments
beta |
array. three dimensional array (iterations * topic * ASVs). |
K |
integer. number of topics. |
aligned |
matrix. A matrix of topic assignment for each chain. output of alignmentMatrix(). |
iterUse |
integer. number of iterations used in each chain after subtracting warm-up samples. |
chain |
integer. number of chains used in MCMC. |
Value
array. three dimensional array.
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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