Package: energymethod 1.1

David Colin Decker

energymethod: Two-Sample Test of many Functional Means using the Energy Method

Given two samples of size n_1 and n_2 from a data set where each sample consists of K functional observations (channels), each recorded on T grid points, the function energy method implements a hypothesis test of equality of channel-wise mean at each channel using the bootstrapped distribution of maximum energy to control family wise error. The function energy_method_complex accomodates complex valued functional observations.

Authors:David Colin Decker [aut, cre]

energymethod_1.1.tar.gz
energymethod_1.1.tar.gz(r-4.7-arm64)energymethod_1.1.tar.gz(r-4.7-x86_64)energymethod_1.1.tar.gz(r-4.6-arm64)energymethod_1.1.tar.gz(r-4.6-x86_64)
energymethod_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
energymethod/json (API)

# Install 'energymethod' in R:
install.packages('energymethod', 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

1.00 score 542 downloads 2 exports 2 dependencies

Last updated from:e42dd8381a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK111
source / vignettesOK172
linux-release-arm64OK139
linux-release-x86_64OK114
wasm-releaseOK110

Exports:energy_methodenergy_method_complex

Dependencies:RcppRcppArmadillo