Package: anMC 0.2.5

Dario Azzimonti

anMC: Compute High Dimensional Orthant Probabilities

Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.

Authors:Dario Azzimonti [aut, cre, cph]

anMC_0.2.5.tar.gz
anMC_0.2.5.tar.gz(r-4.7-arm64)anMC_0.2.5.tar.gz(r-4.7-x86_64)anMC_0.2.5.tar.gz(r-4.6-arm64)anMC_0.2.5.tar.gz(r-4.6-x86_64)
anMC_0.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
anMC/json (API)
NEWS

# Install 'anMC' in R:
install.packages('anMC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

3.47 score 6 packages 6 scripts 3.3k downloads 10 exports 3 dependencies

Last updated from:a4f7e6057b. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE121
linux-devel-x86_64NOTE115
source / vignettesOK165
linux-release-arm64NOTE122
linux-release-x86_64NOTE115
wasm-releaseOK112

Exports:ANMC_GaussconservativeEstimateget_chronotimeMC_GaussmvrnormArmaProbaMaxProbaMinselectActiveDimsselectQdimstrmvrnorm_rej_cpp

Dependencies:mvtnormRcppRcppArmadillo