Package: rofanova 1.0.0

Fabio Centofanti

rofanova: Robust Functional Analysis of Variance

Implements the robust functional analysis of variance (RoFANOVA), described in Centofanti et al. (2021) <arxiv:2112.10643>. It allows testing mean differences among groups of functional data by being robust against the presence of outliers.

Authors:Fabio Centofanti [cre, aut], Bianca Maria Colosimo [aut], Marco Luigi Grasso [aut], Antonio Lepore [aut], Alessandra Menafoglio [aut], Biagio Palumbo [aut], Simone Vantini [aut]

rofanova_1.0.0.tar.gz
rofanova_1.0.0.tar.gz(r-4.5-noble)rofanova_1.0.0.tar.gz(r-4.4-noble)
rofanova_1.0.0.tgz(r-4.4-emscripten)rofanova_1.0.0.tgz(r-4.3-emscripten)
rofanova.pdf |rofanova.html✨
rofanova/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/unina-sfere/rofanova/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

2.22 score 1 packages 11 scripts 170 downloads 4 exports 64 dependencies

Last updated 3 years agofrom:d616e2cc2c. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-linux-x86_64NOTENov 16 2024

Exports:funmadfusemrofanovasimulate_data

Dependencies:abindashbitopscliclustercodetoolscolorspaceDEoptimRdeSolvedoParallelevaluatefansifarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangrobustbasescalesSuppDiststibbleutf8vctrsviridisLitewithrxfunyaml