Description Usage Arguments Value Author(s) Examples
This function performs a clustering algorithm on ordinal data by using the multiple latent block model (see references for further details). It allows the user to define D groups of variables that have different numbers of levels. The BOS distribution is used, and the parameters inference is obtained using the SEM-Gibbs algorithm.
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x |
Matrix made of ordinal data of dimension N*Jtot. The features with the same numbers of levels must be placed side by side. The missing values should be coded as NA. |
idx_list |
Vector of length D. This argument is useful when variables have different numbers of levels. Element d should indicate where the variables with number of levels m[d] begin in matrix x. |
kr |
Number of row clusters. |
m |
Vector of length D. The d^th element defines the number of levels of the ordinal data. |
nbSEM |
Number of SEM-Gibbs iterations realized to estimate the parameters. |
nbSEMburn |
Number of SEM-Gibbs burn-in iterations for estimating parameters. This parameter must be inferior to nbSEM. |
nbindmini |
Minimum number of cells belonging to a block. |
init |
String that indicates the kind of initialisation. Must be one of the following words : "kmeans", "random" or "randomBurnin". |
percentRandomB |
Vector of length 1. Indicates the percentage of resampling when init is equal to "randomBurnin". |
@V |
Matrix of dimension N*kr such that V[i,g]=1 if i belongs to cluster g. |
@zr |
Vector of length N with resulting row partitions. |
@pi |
Vector of length kr. This corresponds to the row mixing proportions. |
@m |
Vector of length D. The d^th element represents the number of levels of the d^th group of variables. |
@icl |
ICL value for clustering. |
@name |
Name of the result. |
@params |
List of length D. The d^th item stores the resulting position and precision parameters mu and pi. |
@paramschain |
List of length nbSEMburn. The parameters of the blocks are stored for each iteration of the SEM-Gibbs algorithm. |
@xhat |
List of length D. The d^th item represents the dataset of the d^th group of variables, with missing values completed. |
@zrchain |
Matrix of dimension nbSEM*N. Row i represents the row cluster partitions at iteration i. |
@pichain |
List of length nbSEM. Item i is a vector of length kr that contains the row mixing proportions at iteration i. |
Margot Selosse, Julien Jacques, Christophe Biernacki.
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