Peter Macdonald <pdmmac@mcmaster.ca>, with contributions
from Juan Du <duduyy@hotmail.com>
This package contains functions for fitting finite mixture
distribution models to grouped data and conditional data by the method
of maximum likelihood using a combination of a Newton-type algorithm and
the EM algorithm.

Peter Macdonald <pdmmac@mcmaster.ca>, with contributions from
Juan Du <duduyy@hotmail.com>
This package contains functions for fitting finite mixture
distribution models to grouped data and conditional data by the
method of maximum likelihood using a combination of a
Newton-type algorithm and the EM algorithm.

Peter Macdonald <pdmmac@mcmaster.ca>, with contributions from Juan Du <duduyy@hotmail.com>
Fit finite mixture distribution models to grouped data and conditional data by maximum likelihood using a combination of a Newton-type algorithm and the EM algorithm.

Sparse Canonical Correlation Analysis for High-Dimensional Mixed
Data
c(
person(given = "Grace",
family = "Yoon",
role = c("aut", "cre"),
email = "gyoon@stat.tamu.edu",
comment = c(ORCID = "0000-0003-3263-1352")),
person(given = "Irina",
family = "Gaynanova",
role = c("aut"),
email = "irinag@stat.tamu.edu",
comment = c(ORCID = "0000-0002-4116-0268")))
Semi-parametric approach for sparse canonical correlation analysis
which can handle mixed data types: continuous, binary and truncated continuous.
Bridge functions are provided to connect Kendall's tau to latent correlation
under the Gaussian copula model. The methods are described in
Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007>.
Rcpp, pcaPP, Matrix, fMultivar, mnormt, irlba, chebpol

c(
person(given = "Grace",
family = "Yoon",
role = c("aut", "cre"),
email = "gyoon6067@gmail.com",
comment = c(ORCID = "0000-0003-3263-1352")),
person(given = "Irina",
family = "Gaynanova",
role = c("aut"),
email = "irinag@stat.tamu.edu",
comment = c(ORCID = "0000-0002-4116-0268")))
Semi-parametric approach for sparse canonical correlation analysis
which can handle mixed data types: continuous, binary and truncated continuous.
Bridge functions are provided to connect Kendall's tau to latent correlation
under the Gaussian copula model. The methods are described in
Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007> and
Yoon, Müller and Gaynanova (2020) <arXiv:2006.13875>.