plot_cor_mat: Plot posterior correlation matrix
In mrc-ide/drjacoby: Flexible Markov Chain Monte Carlo via Reparameterization
plot_cor_mat R Documentation
Plot posterior correlation matrix
Description
Produces a matrix showing the correlation between all parameters
from posterior draws.
Usage
plot_cor_mat(x, show = NULL, phase = "sampling", param_names = NULL)
Arguments
x
an object of class drjacoby_output
show
Vector of parameter names to plot.
phase
which phase to plot. Must be either "burnin" or "sampling".
param_names
Optional vector of names to replace the default parameter names.
mrc-ide/drjacoby documentation built on July 1, 2024, 11:50 a.m.
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| plot_cor_mat | R Documentation |
Plot posterior correlation matrix
Description
Produces a matrix showing the correlation between all parameters from posterior draws.
Usage
plot_cor_mat(x, show = NULL, phase = "sampling", param_names = NULL)
Arguments
x |
an object of class |
show |
Vector of parameter names to plot. |
phase |
which phase to plot. Must be either "burnin" or "sampling". |
param_names |
Optional vector of names to replace the default parameter names. |
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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