Package: anMC 0.2.5

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.zip(r-4.7-x86_64)anMC_0.2.5.zip(r-4.7-arm64)anMC_0.2.5.zip(r-4.6-x86_64)anMC_0.2.5.zip(r-4.6-arm64)anMC_0.2.5.zip(r-4.5-x86_64)
anMC_0.2.5.tgz(r-4.6-x86_64)anMC_0.2.5.tgz(r-4.6-arm64)anMC_0.2.5.tgz(r-4.5-x86_64)anMC_0.2.5.tgz(r-4.5-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
anMC/json (API)

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

Bug tracker:https://github.com/dazzimonti/anmc/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

estimationgaussianorthantprobabilityopenblascpp

4.14 score 6 packages 6 scripts 1.5k downloads 10 exports 3 dependencies

Last updated from:5951ec6c8d. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE86
linux-devel-x86_64NOTE117
source / vignettesOK140
linux-release-arm64NOTE121
linux-release-x86_64NOTE105
macos-release-arm64NOTE142
macos-release-x86_64NOTE259
macos-oldrel-arm64NOTE163
macos-oldrel-x86_64NOTE302
windows-devel-arm64NOTE326
windows-devel-x86_64NOTE126
windows-release-arm64NOTE315
windows-release-x86_64NOTE108
windows-oldrel-x86_64NOTE100
wasm-releaseOK86

Exports:ANMC_GaussconservativeEstimateget_chronotimeMC_GaussmvrnormArmaProbaMaxProbaMinselectActiveDimsselectQdimstrmvrnorm_rej_cpp

Dependencies:mvtnormRcppRcppArmadillo