clusterProbability: Get the probability of the cluster assignments generated...
In compbiomed/celda: CEllular Latent Dirichlet Allocation
Description
Usage
Arguments
Value
Examples
Description
Get the probability of the cluster assignments generated during a celda run.
Usage
1
clusterProbability(counts, celda.mod, log = FALSE)
Arguments
counts
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'.
celda.mod
Celda model. Options available in 'celda::available.models'.
log
Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE.
Value
A numeric vector of the cluster assignment probabilties
Examples
1
cluster.prob = clusterProbability(celda.CG.sim$counts, celda.CG.mod)
compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.
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Description Usage Arguments Value Examples
Description
Get the probability of the cluster assignments generated during a celda run.
Usage
1 | clusterProbability(counts, celda.mod, log = FALSE)
|
Arguments
counts |
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'. |
celda.mod |
Celda model. Options available in 'celda::available.models'. |
log |
Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE. |
Value
A numeric vector of the cluster assignment probabilties
Examples
1 | cluster.prob = clusterProbability(celda.CG.sim$counts, celda.CG.mod)
|
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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