Robust Estimation of Gaussian Mixture Models
Robust estimation of Gaussian mixture models fitted by modified EM algorithm, robust clustering and classification.

c(
person("Giuseppe", "Lamberti", email = "giuseppelamb@hotmail.com", role = c("aut", "cre")),
person("Cristina", "Davino", email = "cdavino@unina.it",  role = "ctb"),
person("Pasquale", "Dolce", email = "pasquale.dolce@unina.it", role = "ctb"),
person("Domenico", "Vistocco", email = "domenico.vistocco@unina.it", role ="ctb"))
Implements the Quantile Composite-based Path Modeling approach
(Davino and Vinzi, 2016 <doi:10.1007/s11634-015-0231-9>;
Dolce et al., 2021 <doi:10.1007/s11634-021-00469-0>). The method complement the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and, thus, overcoming the classical exploration of only average effects. It exploits quantile regression to investigate changes in the relationships among constructs and and between constructs and observed variables according to the analyzed quantile of interest.
Giuseppe Lamberti [aut, cre],
Cristina Davino [ctb],
Pasquale Dolce [ctb],
Domenico Vistocco [ctb]

Implements the Quantile Composite-based Path Modeling approach
(Davino and Vinzi, 2016 <doi:10.1007/s11634-015-0231-9>;
Dolce et al., 2021 <doi:10.1007/s11634-021-00469-0>). The method complements the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and, therefore, overcoming the classical exploration of only average effects. It exploits quantile regression to investigate changes in the relationships among constructs and between constructs and observed variables.

Miguel Flores <mflores@outlook.com>,
Salvador Naya <salva@udc.es>, Ruben Fernandez <ruben.fcasal@udc.es>
This package allows to generate Shewhart-type charts and to obtain
numerical results of interest to the quality control of a process
(involving  continuous, attribute or count data).
This package provides basic functionality for univariable and multivariable
quality control analysis, including: xbar, xbar-one, S, R, ewna, cusum,
mewna, mcusum  and T2 charts.