Package: roptim 0.1.6

roptim: General Purpose Optimization in R using C++

Perform general purpose optimization in R using C++. A unified wrapper interface is provided to call C functions of the five optimization algorithms ('Nelder-Mead', 'BFGS', 'CG', 'L-BFGS-B' and 'SANN') underlying optim().

Authors:Yi Pan [aut, cre]

roptim_0.1.6.tar.gz
roptim_0.1.6.zip(r-4.5)roptim_0.1.6.zip(r-4.4)roptim_0.1.6.zip(r-4.3)
roptim_0.1.6.tgz(r-4.4-x86_64)roptim_0.1.6.tgz(r-4.4-arm64)roptim_0.1.6.tgz(r-4.3-x86_64)roptim_0.1.6.tgz(r-4.3-arm64)
roptim_0.1.6.tar.gz(r-4.5-noble)roptim_0.1.6.tar.gz(r-4.4-noble)
roptim_0.1.6.tgz(r-4.4-emscripten)roptim_0.1.6.tgz(r-4.3-emscripten)
roptim.pdf |roptim.html
roptim/json (API)

# Install 'roptim' in R:
install.packages('roptim', repos = c('https://ypan1988.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ypan1988/roptim/issues

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

On CRAN:

armadillobfgsconjugate-gradientl-bfgs-bnelder-meadoptimrcppsimulated-annealing

6.81 score 20 stars 11 packages 15 scripts 1.3k downloads 7 exports 2 dependencies

Last updated 2 years agofrom:8515d11946. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64NOTENov 07 2024
R-4.3-mac-x86_64NOTENov 07 2024
R-4.3-mac-aarch64NOTENov 07 2024

Exports:example1_rosen_bfgsexample1_rosen_grad_hess_checkexample1_rosen_nograd_bfgsexample1_rosen_other_methodsexample2_tsp_sannexample3_flb_25_dims_box_conexample4_wild_fun

Dependencies:RcppRcppArmadillo

roptim: An R Package for General Purpose Optimization with C++

Rendered fromarticle.pdf.asisusingR.rsp::asison Nov 07 2024.

Last update: 2018-11-12
Started: 2018-11-12