modelAssessment: Model assessment for LDA based on the maximum abundance for...
In PratheepaJ/diffTop: Differential topic analysis using latent Dirichlet allocation
Description
Usage
Arguments
Value
View source: R/modelAssessment.R
Description
Model assessment for LDA based on the maximum abundance for each taxon.
Usage
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modelAssessment(
ps,
stan.fit,
iterUse = 1000,
ASVsIndexToPlot = c(1, 3, 10:14, 19:26, 36, 51:53, 148)
)
Arguments
ps
phyloseq object.
stan.fit
An instance of stanfit.
iterUse
integer. number of iterations used in each chain after subtracting warm-up samples.
ASVsIndexToPlot
An integer vector. Use to select ASVs to show the goodness of fit in histograms.
Value
A ggplot2 object. Histogram of data generated from the posterior estimates and the observed data.
PratheepaJ/diffTop documentation built on Dec. 18, 2021, 7:48 a.m.
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Description Usage Arguments Value
View source: R/modelAssessment.R
Description
Model assessment for LDA based on the maximum abundance for each taxon.
Usage
1 2 3 4 5 6 | modelAssessment(
ps,
stan.fit,
iterUse = 1000,
ASVsIndexToPlot = c(1, 3, 10:14, 19:26, 36, 51:53, 148)
)
|
Arguments
ps |
phyloseq object. |
stan.fit |
An instance of stanfit. |
iterUse |
integer. number of iterations used in each chain after subtracting warm-up samples. |
ASVsIndexToPlot |
An integer vector. Use to select ASVs to show the goodness of fit in histograms. |
Value
A ggplot2 object. Histogram of data generated from the posterior estimates and the observed data.
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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