Notebooks
Notebooks are an easy way to try Modal’s softwares. Using the Binder service, the notebooks and its environment are running into the cloud. No need for any configuration on your computer. ENJOY!
BlockCluster
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BlockCluster can estimate the parameters of co-clustering models for binary, contingency and continuous data. Simply put, when considering a set of data as rows and columns, BlockCluster will make simultaneous permutations of rows and columns in order to organise the data into homogeneous blocks.
Here is a related publication for this software. Here is the related package on the CRAN.
MixMod
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Mixmod is a well-established software package for fitting a mixture model of multivariate Gaussian or multinomial probability distribution functions to a given data set. Cluster analysis will partition observations into groups (“clusters”) while classification analysis will design a decision function from a learning data set to assign new data to groups a priori known.
Here is a related publication for this software. Here is the related package on the CRAN.
MixtComp
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MixtComp takes mixture model analysis one step further and deals with mixed, missing or uncertain data which are common in today’s data sets. Mixed data concerned by MixtComp include continuous, categorical, integer and functional (as time series) ones. All of them can be combined, offering many possibilities as multivariate time series, etc.
A related publication for this software is still ongoing but you can find early information here. Here is the related package on the CRAN.