Package: pEPA 1.2

Krzysztof Drachal

pEPA: Tests of Equal Predictive Accuracy for Panels of Forecasts

Allows to perform the tests of equal predictive accuracy for panels of forecasts. Main references: Qu et al. (2024) <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024) <doi:10.1016/j.ijforecast.2023.02.001>.

Authors:Krzysztof Drachal [aut, cre]

pEPA_1.2.tar.gz
pEPA_1.2.tar.gz(r-4.7-arm64)pEPA_1.2.tar.gz(r-4.7-x86_64)pEPA_1.2.tar.gz(r-4.6-arm64)pEPA_1.2.tar.gz(r-4.6-x86_64)
pEPA_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pEPA/json (API)
NEWS

# Install 'pEPA' in R:
install.packages('pEPA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • observed - Sample Panel of Commodities Spot Prices.
  • predicted - Sample Panels of Commodities Spot Prices Forecasts.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.38 score 1 stars 24 scripts 163 downloads 7 exports 2 dependencies

Last updated from:bf5f8ab2e1. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK111
source / vignettesOK147
linux-release-arm64OK120
linux-release-x86_64OK120
wasm-releaseOK102

Exports:csc.C1.testcsc.C3.testcsc.testpool_av.S1.testpool_av.S3.testpool_av.testtc.test

Dependencies:RcppRcppArmadillo