Package: mig
Type: Package
Title: Multivariate Inverse Gaussian Distribution
Version: 2.0
Authors@R: c(person(given="Leo", family="Belzile", role = c("aut", "cre"), email = "belzilel@gmail.com", comment = c(ORCID = "0000-0002-9135-014X")), person(given="Frederic", family="Ouimet", email = "frederic.ouimet.23@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-7933-5265")))
Description: Provides utilities for estimation for the multivariate inverse Gaussian distribution of Minami (2003) <doi:10.1081/STA-120025379>, including random vector generation and explicit estimators of the location vector and scale matrix. The package implements kernel density estimators discussed in Belzile, Desgagnes, Genest and Ouimet (2024) <doi:10.48550/arXiv.2209.04757> for smoothing multivariate data on half-spaces.
BugReports: https://github.com/lbelzile/mig/issues
Imports: statmod, TruncatedNormal (>= 2.3), Rcpp (>= 1.0.12)
Depends: R (>= 2.10)
Suggests: numDeriv, tinytest, knitr, rmarkdown, minqa
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-04-08 22:13:41 UTC; lbelzile
Author: Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>),
  Frederic Ouimet [aut] (<https://orcid.org/0000-0001-7933-5265>)
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-08 22:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 06:26:17 UTC; unix
Archs: mig.so.dSYM
