R: Bayesian Mixture Models with JAGS

# Bayesian Mixture Models with JAGS

## Documentation for package ‘bayesmix’ version 0.7-6

- DESCRIPTION file
- Package NEWS

## Help Pages

BMMdiag | Plot identifiability diagnostics for JAGSrun object
BMMmodel | Creates bugs model.
BMMposteriori | Plot aposteriori probabilities of data points
BMMpriors | Create a 'BMMpriors' object
darwin | Differences in heights between plants
fish | Fish length data
initsFS | Create initial values
JAGScall | Call jags
JAGScontrol | Control parameters for the sampling.
JAGSrun | MCMC sampling of Bayesian models
plot.BMMposteriori | Plot a posteriori probabilities of data points
plot.JAGSrun | Plot JAGSrun object
print.JAGSmodel | Creates bugs model.
print.JAGSrun | MCMC sampling of Bayesian models
priorsFish | Create list of prior specifications
priorsRaftery | Create list of prior specifications
priorsUncertain | Create list of prior specifications
randomPermutation | Randomly permute segments for MCMC draws
Sort | Sort MCMC chains according to certain variables