Description: The discrete Laplace exponential family for use in fitting generalized linear models.

Description: Discrete Laplace exponential family for models such as a generalized linear model

Title: Discrete Laplace mixture inference using the EM algorithm
Description: disclapmix makes inference in a mixture of Discrete
Laplace distributions using the EM algorithm.
Depends: R (>= 2.14.0), disclap, cluster, parallel

Description: disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).
Imports: disclap (>= 1.4), cluster (>= 1.14.4)

Suggests: ggplot2, gridExtra, ggdendro, scales, seriation

Title: Discrete Laplace Mixture Inference using the EM Algorithm
Description: Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).

Imports: Rcpp (>= 0.11), disclap (>= 1.4), cluster (>= 1.14.4), stats,

email = "mikl@math.aau.dk", role = c("aut", "cre")),
person(given = "Poul Svante", family = "Eriksen",
email = "svante@math.aau.dk", role = c("aut"))
Author: Mikkel Meyer Andersen [aut, cre],
Suggests: knitr, ggplot2, gridExtra, ggdendro, scales, seriation,

Title: Test for Discretized Normality in Ordinal Data
Description: Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution.
The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>.
Imports: lavaan, arules, sirt, MASS, pbivnorm, psych

Imports: lavaan, arules, sirt, MASS, pbivnorm

In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account,
as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.
Imports: lavaan (>= 0.6.10), arules, sirt, MASS, pbivnorm, cubature,

Packaged: 2022-05-25 10:00:38 UTC; njaalfoldnes