Package: diffval 1.1.0

Tiago Monteiro-Henriques

diffval: Vegetation Patterns

Find, visualize and explore patterns of differential taxa in vegetation data (namely in a phytosociological table), using the Differential Value (DiffVal). Patterns are searched through mathematical optimization algorithms. Ultimately, Total Differential Value (TDV) optimization aims at obtaining classifications of vegetation data based on differential taxa, as in the traditional geobotanical approach. The Gurobi optimizer, as well as the R package 'gurobi', can be installed from <https://www.gurobi.com/products/gurobi-optimizer/>. The useful vignette Gurobi Installation Guide, from package 'prioritizr', can be found here: <https://prioritizr.net/articles/gurobi_installation_guide.html>.

Authors:Tiago Monteiro-Henriques [aut, cre], Jorge Orestes Cerdeira [aut], Fundação para a Ciência e a Tecnologia, Portugal [fnd]

diffval_1.1.0.tar.gz
diffval_1.1.0.tar.gz(r-4.5-noble)diffval_1.1.0.tar.gz(r-4.4-noble)
diffval_1.1.0.tgz(r-4.4-emscripten)diffval_1.1.0.tgz(r-4.3-emscripten)
diffval.pdf |diffval.html
diffval/json (API)
NEWS

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

Peer review:

Bug tracker:https://gitlab.com/point-veg/diffval

Datasets:

1.70 score 229 downloads 10 exports 0 dependencies

Last updated 2 years agofrom:2383108ce9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linuxOKNov 13 2024

Exports:bigdata_tdvexplore_tabulationidentical_partitionoptim_tdv_gurobi_k_2optim_tdv_hill_climboptim_tdv_simul_annepartition_tdv_grasppartition_tdv_grdtptabulationtdv

Dependencies: