Package: validann 1.2.1

validann: Validation Tools for Artificial Neural Networks

Methods and tools for analysing and validating the outputs and modelled functions of artificial neural networks (ANNs) in terms of predictive, replicative and structural validity. Also provides a method for fitting feed-forward ANNs with a single hidden layer.

Authors:Greer B. Humphrey [aut, cre]

validann_1.2.1.tar.gz
validann_1.2.1.zip(r-4.5)validann_1.2.1.zip(r-4.4)validann_1.2.1.zip(r-4.3)
validann_1.2.1.tgz(r-4.4-any)validann_1.2.1.tgz(r-4.3-any)
validann_1.2.1.tar.gz(r-4.5-noble)validann_1.2.1.tar.gz(r-4.4-noble)
validann_1.2.1.tgz(r-4.4-emscripten)validann_1.2.1.tgz(r-4.3-emscripten)
validann.pdf |validann.html
validann/json (API)

# Install 'validann' in R:
install.packages('validann', repos = c('https://gbhumphrey1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gbhumphrey1/validann/issues

Datasets:
  • ar9 - Data generated by autoregressive AR9 model.

On CRAN:

3.65 score 3 stars 30 scripts 129 downloads 3 exports 1 dependencies

Last updated 8 years agofrom:b701875c4f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:annobservedvalidann

Dependencies:moments