plot_class_seq: Visualizing the number of classes during Gibbs sampling
In RprobitB: Bayesian Probit Choice Modeling
plot_class_seq R Documentation
Visualizing the number of classes during Gibbs sampling
Description
This function plots the number of latent Glasses during Gibbs sampling
to visualize the class updating.
Usage
plot_class_seq(class_sequence, B)
Arguments
class_sequence
The sequence of class numbers during Gibbs sampling of length R.
B
The length of the burn-in period, i.e. a non-negative number of samples to
be discarded.
Value
No return value. Draws a plot to the current device.
RprobitB documentation built on May 29, 2024, 7:59 a.m.
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| plot_class_seq | R Documentation |
Visualizing the number of classes during Gibbs sampling
Description
This function plots the number of latent Glasses during Gibbs sampling to visualize the class updating.
Usage
plot_class_seq(class_sequence, B)
Arguments
class_sequence |
The sequence of class numbers during Gibbs sampling of length |
B |
The length of the burn-in period, i.e. a non-negative number of samples to be discarded. |
Value
No return value. Draws a plot to the current device.
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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