Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘bpgmm’ version 1.0.9
Help Pages
| CalculateProposalLambda | CalculateProposalLambda |
| CalculateProposalPsy | CalculateProposalPsy |
| calculateRatio | Log scale ratio calculation |
| calculateVarList | calculateVarList |
| changeConstraintFormat | changeConstraintFormat |
| clearCurrentThetaYlist | clearCurrentThetaYlist |
| combineClusterPara | combineClusterPara |
| evaluatePrior | evaluate Prior |
| evaluatePriorLambda | evaluatePriorLambda |
| evaluatePriorPsi | evaluatePriorPsi |
| EvaluateProposalLambda | EvaluateProposalLambda |
| EvaluateProposalPsy | EvaluateProposalPsy |
| generatePriorLambda | generatePriorLambda |
| generatePriorPsi | generatePriorPsi |
| generatePriorThetaY | PriorThetaY list |
| getIndThetaY | getIndThetaY |
| getmode | getmode |
| getRemovedIndThetaY | getRemovedIndThetaY |
| getThetaYWithEmpty | getThetaYWithEmpty |
| getZmat | Tool for vector to matrix |
| Hparam-class | An S4 class to represent a Hyper parameter. |
| likelihood | likelihood |
| listToStrVec | Convert list of string to vector of string |
| MstepRJMCMCupdate | MstepRJMCMCupdate |
| pgmmRJMCMC | bpgmm Model-Based Clustering Using Baysian PGMM Carries out model-based clustering using parsimonious Gaussian mixture models. MCMC are used for parameter estimation. The RJMCMC is used for model selection. |
| stayMCMCupdate | stayMCMCupdate |
| sumerizeZ | sumerizeZ |
| summerizePgmmRJMCMC | summerizePgmmRJMCMC |
| ThetaYList | ThetaYList-class |
| toEthetaYlist | Title |
| toNEthetaYlist | toNEthetaYlist |
| updatePostThetaY | Update posterior theta Y list |
| updatePostZ | updatePostZ |
| VstepRJMCMCupdate | VstepRJMCMCupdate |