c(
person(given = "Fleur",
family = "Kelpin",
role = c("aut"),
email = "fleur@kelpin.nl",
comment = c(ORCID = "0000-0003-1527-5130")),
person(given = "Tommy",
family = "de Boer",
role = c("aut"),
email = "t.de.boer01@umcg.nl",
comment = c(ORCID = "0000-0002-4492-7225")),
person(given = "Sido",
family = "Haakma",
role = c("aut"),
email = "s.haakma@rug.nl",
comment = c(ORCID = "0000-0003-1278-9144")),
person(given = "Mariska",
family = "Slofstra",
role = c("aut", "cre"),
email = "m.k.slofstra@umcg.nl",
comment = c(ORCID = "0000-0002-0400-0468")),
person(given = "MOLGENIS org",
role = c("cph", "fnd"),
email = "molgenis-support@umcg.nl"))
Fleur Kelpin [aut] (<https://orcid.org/0000-0003-1527-5130>),
Tommy de Boer [aut] (<https://orcid.org/0000-0002-4492-7225>),
Sido Haakma [aut] (<https://orcid.org/0000-0003-1278-9144>),
Mariska Slofstra [aut, cre] (<https://orcid.org/0000-0002-0400-0468>),
MOLGENIS org [cph, fnd]

Moments of Folded and Doubly Truncated Multivariate
Distributions
It computes the raw moments for the folded and truncated multivariate normal and Student's t-distribution. It also offers specific functions to compute the mean and variance-covariance matrix as well as the cumulative distribution function (cdf) for the folded normal and folded t-distribution. Algorithms are extensions based on Kan, R., & Robotti, C. (2017) <doi:10.1080/10618600.2017.1322092>.

It computes the raw moments for the folded and truncated multivariate normal, Skew-normal (SN), Extended skew normal (ESN) and Student's t-distribution. It also offers specific functions to compute the mean and variance-covariance matrix as well as the cumulative distribution function (cdf) for the folded normal, SN, ESN, and folded t-distribution. Algorithms are extensions based on Kan, R., & Robotti, C. (2017) <doi:10.1080/10618600.2017.1322092>.

It computes the raw moments for the truncated and folded multivariate normal, Skew-normal (SN), Extended skew normal (ESN) and Student's t-distribution. It also offers specific functions to compute the mean and variance-covariance matrix as well as the cumulative distribution function (cdf) for the folded normal, SN, ESN, and folded t-distribution. Density and random deviates are offered for the ESN (SN as particular case) distribution. Most algorithms are extensions based on Kan, R., & Robotti, C. (2017) <doi:10.1080/10618600.2017.1322092>.