hyperParaDMH: hyperParaDMH
In BANFF: Bayesian Network Feature Finder
Description
Usage
Arguments
Value
Description
Apply Double Metropolis-Hastings sampler (DMH) to find hyperparameters: rho & pi
Usage
1
hyperParaDMH(para, plot = TRUE)
Arguments
para
The parameter list
plot
Logical. T: plot trace plot; F: not plot output.
Value
a list:
rhoTrack
saved rho value each iteration
piTrack
saved pi value each iteration
zTrack
saved z label value each iteration
rho
posterior mean calculated based on second half of the iterations
zstat
posterior z value calculated based on major vote method.
BANFF documentation built on May 29, 2017, 11:59 a.m.
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Description Usage Arguments Value
Description
Apply Double Metropolis-Hastings sampler (DMH) to find hyperparameters: rho & pi
Usage
1 | hyperParaDMH(para, plot = TRUE)
|
Arguments
para |
The parameter list |
plot |
Logical. T: plot trace plot; F: not plot output. |
Value
a list:
rhoTrack |
saved rho value each iteration |
piTrack |
saved pi value each iteration |
zTrack |
saved z label value each iteration |
rho |
posterior mean calculated based on second half of the iterations |
zstat |
posterior z value calculated based on major vote method. |
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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