thetaAligned: Align topic proportions in specimens across chain.
In PratheepaJ/diffTop: Differential topic analysis using latent Dirichlet allocation
Description
Usage
Arguments
Value
Description
Align topic proportions in specimens across chain.
Usage
1
thetaAligned(theta, K, aligned, iterUse = 1000, chain = 4)
Arguments
theta
array. three dimensional array (iterations * topic * specimens).
K
integer. number of topics.
aligned
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 topic proportions in specimens across chain.
Usage
1 | thetaAligned(theta, K, aligned, iterUse = 1000, chain = 4)
|
Arguments
theta |
array. three dimensional array (iterations * topic * specimens). |
K |
integer. number of topics. |
aligned |
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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