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mig: Multivariate Inverse Gaussian Distribution

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.

Version: 1.0
Depends: R (≥ 2.10)
Imports: statmod, TruncatedNormal (≥ 2.3), Rcpp (≥ 1.0.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: numDeriv, tinytest, knitr, rmarkdown, minqa
Published: 2024-07-14
DOI: 10.32614/CRAN.package.mig
Author: Frederic Ouimet ORCID iD [aut], Leo Belzile ORCID iD [aut, cre]
Maintainer: Leo Belzile <belzilel at gmail.com>
BugReports: https://github.com/lbelzile/mig/issues
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: mig results

Documentation:

Reference manual: mig.pdf
Vignettes: mig package

Downloads:

Package source: mig_1.0.tar.gz
Windows binaries: r-devel: mig_1.0.zip, r-release: mig_1.0.zip, r-oldrel: mig_1.0.zip
macOS binaries: r-release (arm64): mig_1.0.tgz, r-oldrel (arm64): mig_1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): mig_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mig to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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