c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"),
person("Ranjan", "Maitra", role = "aut", email = "maitra@iastate.edu"),
person("Dan", "Nettleton", role = "ctb"))

Likelihood-based methods for inference for finite mixture
models

Shaoting Li, Jiahua Chen and Pengfei Li.
Functions for computing the penalized maximum likelihood estimate (PMLE) or maximum likelihood estimate (MLE), testing the order of a finite mixture model using EM-test, drawing histogram of observations and the fitted density or probability mass function of the mixture model.

Robust Model-Based Clustering for Data Sets with Missing Values
at Random
c(person(given = "Hung",
family = "Tong",
role = c("aut", "cre"),
email = "hungtongmx@gmail.com"),
person(given = "Cristina",
family = "Tortora",
role = c("aut", "ths", "dgs"),
email = "cristina.tortora@sjsu.edu"))
Implementation of robust model based cluster analysis with missing data.
The models used are: Multivariate Contaminated Normal Mixtures (MCNM),
Multivariate Student's t  Mixtures (MtM), and Multivariate Normal Mixtures (MNM)
for data sets with missing values at random.
"Cluster analysis and outlier detection with missing data"
Hung Tong, Cristina Tortora (2020) <arXiv:2012.05394>.
Hung Tong [aut, cre],
Cristina Tortora [aut, ths, dgs]

Implementation of robust model based cluster analysis with missing data.
The models used are: Multivariate Contaminated Normal Mixtures (MCNM),
Multivariate Student's t  Mixtures (MtM), and Multivariate Normal Mixtures (MNM)
for data sets with missing values at random.
See "Model-Based Clustering and Outlier Detection with Missing Data" by
Hung Tong and Cristina Tortora (2022) <doi:10.1007/s11634-021-00476-1>.

Fit Mixture Regression Models for Left-Truncated and
Interval-Censored Data
c(person("Yuh-Chyuan", "Tsay", role=c("aut","cre"), email="yctsay@stat.sinica.edu.tw"),
person("Chen-Hsin", "Chen", role="aut"),
person("Ya-Chi", "Wu", role="aut"),
person("Cheng-Fang", "Horng", role="aut"))
Yuh-Chyuan Tsay [aut, cre], Chen-Hsin Chen [aut], Ya-Chi Wu [aut], Cheng-Fang Horng [aut]
Fit mixture regression models with nonsusceptibility/cure for left-truncated and interval-censored (LTIC) data (see Chen et al. (2013) <doi:10.1002/sim.5845>). This package also provides the nonparametric maximum likelihood estimator (NPMLE) for the survival/event curves with LTIC data.