plot_chi: Plot posterior precision parameters
In kieranrcampbell/mfa: Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations
plot_chi R Documentation
Plot posterior precision parameters
Description
Plot posterior precision parameters
Usage
plot_chi(m, nfeatures = m$G)
Arguments
m
A fit returned from mfa
nfeatures
Top number of
Value
A ggplot2 bar-plot showing the map
estimates of χ^{-1}
Examples
synth <- create_synthetic(C = 20, G = 5)
m <- mfa(synth$X)
plot_chi(m)
kieranrcampbell/mfa documentation built on March 27, 2022, 5:20 a.m.
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| plot_chi | R Documentation |
Plot posterior precision parameters
Description
Plot posterior precision parameters
Usage
plot_chi(m, nfeatures = m$G)
Arguments
m |
A fit returned from |
nfeatures |
Top number of |
Value
A ggplot2 bar-plot showing the map
estimates of χ^{-1}
Examples
synth <- create_synthetic(C = 20, G = 5) m <- mfa(synth$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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