Package: ARCHISSUR 0.0.1

ARCHISSUR: Active Recovery of a Constrained and Hidden Set by Stepwise Uncertainty Reduction Strategy

Stepwise Uncertainty Reduction criterion and algorithm for sequentially learning a Gaussian Process Classifier as described in Menz et al. (2025).

Authors:Morgane Menz [aut, cre], Miguel Munoz-Zuniga [aut], Delphine Sinoquet [aut], Naoual Serraji [ctb]

ARCHISSUR_0.0.1.tar.gz
ARCHISSUR_0.0.1.zip(r-4.7)ARCHISSUR_0.0.1.zip(r-4.6)ARCHISSUR_0.0.1.zip(r-4.5)
ARCHISSUR_0.0.1.tgz(r-4.6-any)ARCHISSUR_0.0.1.tgz(r-4.5-any)
ARCHISSUR_0.0.1.tar.gz(r-4.7-any)ARCHISSUR_0.0.1.tar.gz(r-4.6-any)
ARCHISSUR_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ARCHISSUR/json (API)

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

On CRAN:

Conda:

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

1.00 score 1 scripts 197 downloads 8 exports 30 dependencies

Last updated from:34c021ab4c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK170
linux-release-x86_64OK162
macos-release-arm64OK144
macos-oldrel-arm64OK138
windows-develOK102
windows-releaseOK114
windows-oldrelOK114
wasm-releaseOK110

Exports:archissurcomputeQuickgpccovcomputeVorobTermsmax_vorob_parallel_gpcprecomputeUpdateDatapredict_update_gpc_parallelvorob_optim_parallel_gpcvorob_optim_parallel2_gpc

Dependencies:alabamaanMCcodetoolsDiceKrigingdigestfuturefuture.applyglobalsgmmGPCsignKrigInvlatticelistenvMatrixmvtnormnleqslvnumDerivparallellypbivnormqrngrandtoolboxRcppRcppArmadillorgenoudrngWELLsandwichspacefillrtmvtnormTruncatedNormalzoo