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lcmm

lcmm This package provides functions for the estimation of various latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear outcomes using a maximum...

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mixsmsn

mixsmsn Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions. cran_package_id:  2750 cran_package_latest_version_id: mixsmsncran_package_users_count:  0...

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tclust

tclust Robust Trimmed Clustering cran_package_id:  2810 cran_package_latest_version_id: tclustcran_package_users_count:  0 cran_package_score:  0 Overall: 0Your rating: NoneDocumentation: 0Your...

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sigclust

sigclust SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters....

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HDclassif

HDclassif Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing...

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mritc

mritc Various methods for MRI tissue classification. cran_package_id:  2882 cran_package_latest_version_id: mritccran_package_users_count:  2 cran_package_score:  3 Overall: 3.42056Your rating:...

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movMF

movMF Fit and simulate mixtures of von Mises-Fisher distributions. cran_package_id:  3694 cran_package_latest_version_id: movMFcran_package_users_count:  0 cran_package_score:  0 Overall: 0Your...

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pdfCluster

pdfCluster The package performs cluster analysis via non-parametric density estimation. Operationally, the kernel method is used througout to estimate the density. Diagnostics methods for evaluating...

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fastcluster

fastcluster This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as...

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protoclust

protoclust Performs minimax linkage hierarchical clustering. Every cluster has an associated prototype element that represents that cluster as described in Bien, J., and Tibshirani, R. (2011),...

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