Package: mig 2.0

Leo Belzile

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.

Authors:Leo Belzile [aut, cre], Frederic Ouimet [aut]

mig_2.0.tar.gz
mig_2.0.tar.gz(r-4.7-arm64)mig_2.0.tar.gz(r-4.7-x86_64)mig_2.0.tar.gz(r-4.6-arm64)mig_2.0.tar.gz(r-4.6-x86_64)
mig_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mig/json (API)
NEWS

# Install 'mig' in R:
install.packages('mig', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lbelzile/mig/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

2.70 score 1 scripts 185 downloads 35 exports 9 dependencies

Last updated from:d90d19c0d0. Checks:2 ERROR, 4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR192
linux-devel-x86_64OK164
source / vignettesOK233
linux-release-arm64ERROR191
linux-release-x86_64OK193
wasm-releaseOK111

Exports:.lsum.mig_mle.mig_momdmigdmig_laplaciandtelliptfit_miggauss_kdens_armagauss_lcvgauss_loogauss_lscvgauss_rlcvhsgauss_kdenskdens_bandwidthmig_kdensmig_kdens_armamig_lcvmig_loglik_gradmig_loglik_hessianmig_loglik_laplacianmig_loomig_lscvmig_rlcvmle_truncgaussnormalrule_bandwidthpmigproj_hsrmigrtellipttnorm_kdenstnorm_kdens_armatnorm_lcvtnorm_lootnorm_lscvtnorm_rlcv

Dependencies:alabamanleqslvnumDerivqrngRcppRcppArmadillospacefillrstatmodTruncatedNormal

mig package

Rendered frommig_vignette.Rmdusingknitr::rmarkdownon Jun 13 2026.

Last update: 2024-07-15
Started: 2024-07-15