sampling_b: MCMC sampling of parameter "b" in the _mixdpcluster_ model...
In BNPMIXcluster: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables
Description
Generates a sample from the posterior distribution of b in the mixdpcluster model for bayesian clustering.
The simulation is done via Metropolis-Hastings method.
Usage
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sampling_b(
n_sim_mh = 1,
b_ini,
a,
d_0_b,
d_1_b,
eta = 1,
mu_star_n_r,
max.time = 10 * 60,
n.burn = 0,
accept_display = T,
verbose = F,
USING_CPP = TRUE
)
BNPMIXcluster documentation built on Nov. 30, 2020, 5:07 p.m.
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Description
Generates a sample from the posterior distribution of b in the mixdpcluster model for bayesian clustering. The simulation is done via Metropolis-Hastings method.
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | sampling_b(
n_sim_mh = 1,
b_ini,
a,
d_0_b,
d_1_b,
eta = 1,
mu_star_n_r,
max.time = 10 * 60,
n.burn = 0,
accept_display = T,
verbose = F,
USING_CPP = TRUE
)
|
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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