Package: eHOF 1.16

Florian Jansen

eHOF: Extended HOF (Huisman-Olff-Fresco) Models

Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman et al. 1993 Journal of Vegetation Science <doi:10.1111/jvs.12050>) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.

Authors:Florian Jansen [aut, cre], Jari Oksanen [aut]

eHOF_1.16.tar.gz
eHOF_1.16.zip(r-4.5)eHOF_1.16.zip(r-4.4)eHOF_1.16.zip(r-4.3)
eHOF_1.16.tgz(r-4.5-any)eHOF_1.16.tgz(r-4.4-any)eHOF_1.16.tgz(r-4.3-any)
eHOF_1.16.tar.gz(r-4.5-noble)eHOF_1.16.tar.gz(r-4.4-noble)
eHOF_1.16.tgz(r-4.4-emscripten)eHOF_1.16.tgz(r-4.3-emscripten)
eHOF.pdf |eHOF.html✨
eHOF/json (API)

# Install 'eHOF' in R:
install.packages('eHOF', repos = c('https://florianjansen.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • acre - Vegetation plots from arable fields in North-Eastern Germany
  • acre.env - Vegetation plots from arable fields in North-Eastern Germany
  • mtf - Species Data and Altitude from Mt. Field, Tasmania
  • mtf.env - Species Data and Altitude from Mt. Field, Tasmania

On CRAN:

Conda:

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

3.16 score 24 scripts 511 downloads 6 mentions 9 exports 4 dependencies

Last updated 4 months agofrom:8a7c858aa9. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-winOKMar 15 2025
R-4.5-macOKMar 15 2025
R-4.5-linuxOKMar 15 2025
R-4.4-winOKMar 15 2025
R-4.4-macOKMar 15 2025
R-4.4-linuxOKMar 15 2025
R-4.3-winOKMar 15 2025
R-4.3-macOKMar 15 2025

Exports:autolayoutbetarespeHOF.modelnamesHOFParaPara_derivPara_nichePara_optpick.model

Dependencies:latticeMatrixmgcvnlme

Hierarchical logistic regression with package HOF

Rendered fromeHOF.Rnwusingknitr::knitron Mar 15 2025.

Last update: 2024-12-14
Started: 2013-03-03