Package: OSFD 3.0

Shangkun Wang

OSFD: Output Space-Filling Design

Methods to generate a design in the input space that sequentially fills the output space of a black-box function. The output space-filling designs are helpful in inverse design or feature-based modeling problems. See Wang, Shangkun, Adam P. Generale, Surya R. Kalidindi, and V. Roshan Joseph. (2024), Sequential designs for filling output spaces, Technometrics, 66, 65–76. for details. This work is supported by U.S. National Foundation grant CMMI-1921646.

Authors:Shangkun Wang [aut, cre], Roshan Joseph [aut]

OSFD_3.0.tar.gz
OSFD_3.0.tar.gz(r-4.5-noble)OSFD_3.0.tar.gz(r-4.4-noble)
OSFD_3.0.tgz(r-4.4-emscripten)OSFD_3.0.tgz(r-4.3-emscripten)
OSFD.pdf |OSFD.html✨
OSFD/json (API)

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

Peer review:

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

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

openblascpp

1.00 score 146 downloads 5 exports 20 dependencies

Last updated 17 days agofrom:89a228ea40. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 16 2025
R-4.5-linux-x86_64OKJan 16 2025

Exports:ball_unifIOSFDmMdistOSFDspanfill

Dependencies:clidplyrfansigenericsgluelhslifecyclemagrittrpillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselecttwinningutf8vctrswithr