Package: linconGaussR 0.1

linconGaussR: Sampling Multivariate Normal Distribution under Linear Constraints

Sample truncated multivariate Normal distribution following Gessner, A., Kanjilal, O., & Hennig, P. (2019). Integrals over Gaussians under Linear Domain Constraints. 108. <arxiv:1910.09328>.

Authors:Yunyi Shen [aut, cre]

linconGaussR_0.1.tar.gz
linconGaussR_0.1.zip(r-4.5)linconGaussR_0.1.zip(r-4.4)linconGaussR_0.1.zip(r-4.3)
linconGaussR_0.1.tgz(r-4.5-x86_64)linconGaussR_0.1.tgz(r-4.5-arm64)linconGaussR_0.1.tgz(r-4.4-x86_64)linconGaussR_0.1.tgz(r-4.4-arm64)linconGaussR_0.1.tgz(r-4.3-x86_64)linconGaussR_0.1.tgz(r-4.3-arm64)
linconGaussR_0.1.tar.gz(r-4.5-noble)linconGaussR_0.1.tar.gz(r-4.4-noble)
linconGaussR_0.1.tgz(r-4.4-emscripten)linconGaussR_0.1.tgz(r-4.3-emscripten)
linconGaussR.pdf |linconGaussR.html
linconGaussR/json (API)

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

Peer review:

Bug tracker:https://github.com/yunyishen/lincongaussr/issues

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

On CRAN:

openblascppopenmp

3.00 score 2 stars 196 downloads 1 exports 3 dependencies

Last updated 3 years agofrom:668b4f7f0e. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-win-x86_64NOTEJan 31 2025
R-4.5-mac-x86_64NOTEJan 31 2025
R-4.5-mac-aarch64NOTEJan 31 2025
R-4.5-linux-x86_64NOTEJan 31 2025
R-4.4-win-x86_64NOTEJan 31 2025
R-4.4-mac-x86_64NOTEJan 31 2025
R-4.4-mac-aarch64NOTEJan 31 2025
R-4.3-win-x86_64NOTEJan 31 2025
R-4.3-mac-x86_64NOTEJan 31 2025
R-4.3-mac-aarch64NOTEJan 01 2025

Exports:linconGauss

Dependencies:MASSRcppRcppArmadillo