目录
- .githubCI: avoid duplicate sanitizer runs on PR branches4个月前
- Rcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- instcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- mancubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- pkgdowncubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- srcMakevars: target the static libraries directly, drop .ts stamps4个月前
- testscubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- vignettesVignette: clarify robust-path sentence, document both submodules4个月前
- .RbuildignoreFix .Rbuildignore regex so build-artifact files in src/ are actually excluded4个月前
- .gitignorecubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- .gitmodulescubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- DESCRIPTIONcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- LICENSE.mdUpdates8年前
- NAMESPACEUpdated tests and cleaned up Cuba interface7年前
- NEWS.mdcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- NOTES.mdcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- README.RmdFix README1年前
- README.mdFix README1年前
- REVIEW.mdcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- _pkgdown.ymlcubature 2.2.0: robust error estimation, vignette reorganization, submodule-ize libcubature4个月前
- cleanupMakevars: target the static libraries directly, drop .ts stamps4个月前
- codecov.ymlFix README1年前
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cubature
Cubature is an R package for adaptive multivariate integration over hypercubes using deterministic and Monte Carlo methods. The package provides wrappers around two C libraries:
Both scalar and vectorized interfaces are available for all routines. R users will gain a lot by using the vectorization as demonstrated in the included vignette.
Dedication
Version 2.0 is dedicated to the memory of Kiên Kiêu, one of the original authors of
R2Cuba. I (BN) never knew him, but this package derives from his work onR2Cuba.