Man pages for ClustMMDD
Variable Selection in Clustering by Mixture Models for Discrete Data
| backward.explorer | Gather a set of the most competitive models. |
| ClustMMDD-package | 'ClustMMDD' : Clustering by Mixture Models for Discrete Data. |
| cutEachCol | Retrieve data from strings in the dataset. |
| dataR2C | Transform a (normal) data frame to be compatible with... |
| dimJump.R | Data driven calibration of the penalty function |
| em.cluster.R | Compute estimates of the parameters by Expectation and... |
| EmOptions | Display the current Expectation and Maximization options. |
| exModelKS | An example of 'modelKS'. |
| genotype1 | 'genotype1' is a data frame of genotype data with 'ploidy =... |
| genotype2 | A genotype data frame compatible with 'ClustMMDD' main... |
| genotype2_ExploredModels | A data frame of competing models gathered by... |
| is.element-methods | Check if a 'modelKS' object is in a set of such objects. |
| isInFile.R | Find a model in a file. |
| is.modelKS-methods | Is an object from class 'modelKS'? |
| modelKS-class | 'modelKS' is a class of parameters of (K, S) model. |
| model-methods | Retrieve a list of model <=ft(K,S\right) from a 'modelKS'... |
| model.selection.R | Selection of both the number K of clusters and the subset S... |
| Rcpp_modules_examples | Functions and Objects created by Rcpp Modules Example |
| read.modelKS-methods | Read the parameters of a model <=ft(K,S\right) from a file. |
| read.or.compute | Read a given model from a file or compute the estimates of... |
| selectK.R | Selection of the number K of clusters. |
| setEmOptions | Set Expectation and Maximization options. |
| setModelKS-methods | Set an instance of class 'modelKS' from a list. |
| show-methods | 'show' method for an object of class 'modelKS' |
| simulData-methods | Simulate a dataset from a given set of parameters in an... |
| z==-methods | Methods for Function '==' |
| z[_--methods | Get or set a slot from 'modelKS'. |
| z[-methods | Get a slot from 'modelKS'. |
