Package: MLpreemption 1.0.1

MLpreemption: Maximum Likelihood Estimation of the Niche Preemption Model

Provides functions for obtaining estimates of the parameter of the niche preemption model (also known as the geometric series), in particular a maximum likelihood estimator (Graffelman, 2021) <doi:10.1101/2021.01.27.428381>. The niche preemption model is a widely used model in ecology and biodiversity studies.

Authors:Jan Graffelman [aut, cre]

MLpreemption_1.0.1.tar.gz
MLpreemption_1.0.1.zip(r-4.7)MLpreemption_1.0.1.zip(r-4.6)MLpreemption_1.0.1.zip(r-4.5)
MLpreemption_1.0.1.tgz(r-4.6-any)MLpreemption_1.0.1.tgz(r-4.5-any)
MLpreemption_1.0.1.tar.gz(r-4.7-any)MLpreemption_1.0.1.tar.gz(r-4.6-any)
MLpreemption_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MLpreemption/json (API)

# Install 'MLpreemption' in R:
install.packages('MLpreemption', repos = c('https://jangraffelman.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Fattorini - Australian bird abudances.
  • Ganeshaiah - Indian dung beetles from Ganeshaiah et al.
  • Mehrabi - Costa Rica dung beetle counts from Mehrabi et al.

On CRAN:

Conda:

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

1.00 score 160 downloads 8 exports 0 dependencies

Last updated from:e3ad7713c8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK187
linux-release-x86_64OK94
macos-release-arm64OK66
macos-oldrel-arm64OK88
windows-develOK68
windows-releaseOK56
windows-oldrelOK55
wasm-releaseOK80

Exports:k_hetangk_lsk_mayk_mlpreemption.fitpreemption.traplotraplot.paired

Dependencies: