plot_chi: Plot posterior precision parameters
In mfa: Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations
Description
Usage
Arguments
Value
Examples
Description
Plot posterior precision parameters
Usage
1
plot_chi(m, nfeatures = m$G)
Arguments
m
A fit returned from mfa
nfeatures
Top number of
Value
A ggplot2 bar-plot showing the map
estimates of χ^{-1}
Examples
1
2
3
synth <- create_synthetic(C = 20, G = 5)
m <- mfa(synth$X)
plot_chi(m)
mfa documentation built on Nov. 8, 2020, 8:10 p.m.
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Description Usage Arguments Value Examples
Description
Plot posterior precision parameters
Usage
1 | plot_chi(m, nfeatures = m$G)
|
Arguments
m |
A fit returned from |
nfeatures |
Top number of |
Value
A ggplot2 bar-plot showing the map
estimates of χ^{-1}
Examples
1 2 3 | synth <- create_synthetic(C = 20, G = 5)
m <- mfa(synth$X)
plot_chi(m)
|
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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