Rdocumentation
powered by
Learn R Programming
bayesmix (version 0.7-6)
Bayesian Mixture Models with JAGS
Description
Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.
Copy Link
Link to current version
Version
Version
0.7-6
0.7-5
0.7-4
0.7-3
0.7-2
0.7-1
0.7-0
0.6-1
0.6-0
0.5-4
0.5-3
0.5-2
Install
install.packages('bayesmix')
Monthly Downloads
555
Version
0.7-6
License
GPL-2 | GPL-3
Maintainer
Bettina Gruen
Last Published
April 12th, 2023
Functions in bayesmix (0.7-6)
Search all functions
initsFS
Create initial values
randomPermutation
Randomly permute segments for MCMC draws
plot.BMMposteriori
Plot a posteriori probabilities of data points
fish
Fish length data
JAGScontrol
Control parameters for the sampling.
plot.JAGSrun
Plot JAGSrun object
JAGSrun
MCMC sampling of Bayesian models
BMMposteriori
Plot aposteriori probabilities of data points
darwin
Differences in heights between plants
Sort
Sort MCMC chains according to certain variables
JAGScall
Call jags
BMMpriors
Create a 'BMMpriors' object
BMMdiag
Plot identifiability diagnostics for JAGSrun object
priors
Create list of prior specifications
BMMmodel
Creates bugs model.