c(person(given = "Marc",
family = "Ditzhaus",
role = c("aut")),
person(given = "Dennis",
family = "Dobler",
role = "aut"),
person(given = "Markus",
family = "Pauly",
role = "aut"),
person(given = "Philipp",
family = "Steinhauer",
role = "aut"),
person(given = "Merle",
family = "Munko",
role = c("aut","cre"), email = "merle.munko@ovgu.de"))
Marc Ditzhaus [aut],
Dennis Dobler [aut],
Markus Pauly [aut],
Philipp Steinhauer [aut],
Merle Munko [aut, cre]

Gross Flows Estimation under Complex Surveys
Acero William <wfaceror@unal.edu.co>, Gutiérrez Andrés <andres.gutierrez@un.org>, Trujillo Leonardo <ltrujillo@unal.edu.co>
The philosophy in the package is described in Stasny (1988) <doi:10.2307/1391558> and Gutiérrez, A., Trujillo, L. & Silva, N. (2014), <ISSN:1492-0921> to estimate the gross flows under complex surveys using a Markov chain approach with non response.

Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2017, in re-submission) for details.

Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2018, in re-submission) for details.

Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2018) <doi:10.1007/s00180-018-0804-0> for details.

Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2018) <doi:10.1007/s00180-018-0804-0> and Shih and Emura (2019) <doi:10.1007/s00362-016-0865-5> for details.

c(person(given = "Wei",
family = "Liu",
role = c("aut", "cre"),
email = "weiliu@smail.swufe.edu.cn"),
person(given = "Huazhen",
family = "Lin",
role = "aut"),
person(given = "Shurong",
family = "Zheng",
role = "aut"),
person(given = "Jin",
family = "Liu",
role = "aut"))
Wei Liu [aut, cre],
Huazhen Lin [aut],
Shurong Zheng [aut],
Jin Liu [aut]
Generalized factor model for ultra-high dimensional variables with mixed types.
We develop a two-step iterative procedure so that each update can be
carried out in parallel across all variables and samples. The fast
computation version is provided for ultra-high dimensional data,
see examples for more details. More details can be referred to
Wei Liu, Huazhen Lin, Shurong Zheng and Jin Liu. (2021) <doi:10.1080/01621459.2021.1999818>.