Package: LA 2.3

Hongzhi Wang

LA: Lioness Algorithm (LA)

Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <doi:10.48550/arXiv.2010.09154>.

Authors:Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]

LA_2.3.tar.gz
LA_2.3.tar.gz(r-4.7-arm64)LA_2.3.tar.gz(r-4.7-x86_64)LA_2.3.tar.gz(r-4.6-arm64)LA_2.3.tar.gz(r-4.6-x86_64)
LA_2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LA/json (API)
NEWS

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

On CRAN:

Conda:

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

openblascppopenmp

2.00 score 6 scripts 560 downloads 126 mentions 24 exports 2 dependencies

Last updated from:02b4ade836. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK142
linux-devel-x86_64OK189
source / vignettesOK204
linux-release-arm64OK147
linux-release-x86_64OK151
wasm-releaseOK131

Exports:AAvgAbsCorCcorCDdijCexchangeCfactorialCGGscoreCLA_LHDCLA_OofACLA_OptCMaxAbsCorCMaxProCriterionCmodCMOMCpermuCphi_pCPWOCrLHDCrOofACrSignseqCTC

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Lioness Algorithm for Latin hypercube designAvgAbsCorC corC dijC exchangeC LA_LHDC MaxAbsCorC MaxProCriterionC permuC phi_pC rLHDC seqC
Lioness Algorithm for order-of-addition designfactorialC LA_OofAC modC MOMC PWOC rOofAC TC
Lioness Algorithm for experimental designs with continuous factorsA D G GscoreC LA_OptC rSign