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-4.5-noble)LA_2.3.tar.gz(r-4.4-noble)
LA_2.3.tgz(r-4.4-emscripten)LA_2.3.tgz(r-4.3-emscripten)
LA.pdf |LA.html✨
LA/json (API)
NEWS

# Install 'LA' in R:
install.packages('LA', repos = '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 696 downloads 126 mentions 24 exports 2 dependencies

Last updated 10 months agofrom:02b4ade836. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-linux-x86_64OKMar 04 2025
R-4.4-linux-x86_64OKMar 04 2025

Exports:AAvgAbsCorCcorCDdijCexchangeCfactorialCGGscoreCLA_LHDCLA_OofACLA_OptCMaxAbsCorCMaxProCriterionCmodCMOMCpermuCphi_pCPWOCrLHDCrOofACrSignseqCTC

Dependencies:RcppRcppArmadillo

Citation

To cite package ‘LA’ in publications use:

Wang H, Xiao Q, Mandal A (2024). LA: Lioness Algorithm (LA). R package version 2.3, https://CRAN.R-project.org/package=LA.

Corresponding BibTeX entry: 

  @Manual{,
    title = {LA: Lioness Algorithm (LA)},
    author = {Hongzhi Wang and Qian Xiao and Abhyuday Mandal},
    year = {2024},
    note = {R package version 2.3},
    url = {https://CRAN.R-project.org/package=LA},
  }

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