90 citations · 197 across the 35 of their papers we have counts for
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ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions
Antonio Punzo, Angelo Mazza, Paul D. McNicholas
We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multivariate contaminated normal distributions as a tool for robust clustering and clas…
Multivariate response and parsimony for Gaussian cluster-weighted models
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas +2
A family of parsimonious Gaussian cluster-weighted models is presented. This family concerns a multivariate extension to cluster-weighted modelling that can account for correlation…
DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques
Angelo Mazza, Antonio Punzo
Kernel smoothing represents a useful approach in the graduation of mortality rates. Though there exist several options for performing kernel smoothing in statistical software packa…
KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory
Angelo Mazza, Antonio Punzo, Brian McGuire
Item response theory (IRT) models are a class of statistical models used to describe the response behaviors of individuals to a set of items having a certain number of options. The…
Model-based clustering via linear cluster-weighted models
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
A novel family of twelve mixture models with random covariates, nested in the linear cluster-weighted model (CWM), is introduced for model-based clustering. The linear CWM…