Package: meteR 1.2

meteR: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

Fit and plot macroecological patterns predicted by the Maximum Entropy Theory of Ecology (METE).

Authors:Andy Rominger, Cory Merow

meteR_1.2.tar.gz
meteR_1.2.zip(r-4.5)meteR_1.2.zip(r-4.4)meteR_1.2.zip(r-4.3)
meteR_1.2.tgz(r-4.4-x86_64)meteR_1.2.tgz(r-4.4-arm64)meteR_1.2.tgz(r-4.3-x86_64)meteR_1.2.tgz(r-4.3-arm64)
meteR_1.2.tar.gz(r-4.5-noble)meteR_1.2.tar.gz(r-4.4-noble)
meteR_1.2.tgz(r-4.4-emscripten)meteR_1.2.tgz(r-4.3-emscripten)
meteR.pdf |meteR.html
meteR/json (API)

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

Peer review:

Bug tracker:https://github.com/cmerow/meter/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • anbo - Community abundance data for a desert grassland
  • arth - Arthropod community abundance data

On CRAN:

5.35 score 11 stars 41 scripts 142 downloads 1 mentions 23 exports 6 dependencies

Last updated 6 years agofrom:d459165539. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64ERRORNov 07 2024
R-4.5-linux-x86_64ERRORNov 07 2024
R-4.4-win-x86_64ERRORNov 07 2024
R-4.4-mac-x86_64ERRORNov 07 2024
R-4.4-mac-aarch64ERRORNov 07 2024
R-4.3-win-x86_64ERRORNov 07 2024
R-4.3-mac-x86_64ERRORNov 07 2024
R-4.3-mac-aarch64ERRORNov 07 2024

Exports:downscaleSARebarempiricalSARgsneESFipdlogLikZmeteDist2RankmeteESFmeteNumetePhimetePimetePsimeteSARmeteSSFmeteThetamsemseZpredictESFsadsipdspdssadupscaleSAR

Dependencies:distrMASSnleqslvRcppsfsmiscstartupmsg

An Overview of meteR: testing the Maximum Entropy Theory of Ecology

Rendered frommeteR_vignette.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2016-06-20
Started: 2014-11-18

Readme and manuals

Help Manual

Help pageTopics
Analyses with the Maximum Entropy Theory of Ecology (METE)meteR-package meteR
Community abundance data for a desert grassland (anza borrego)anbo
Arthropod community abundance dataarth
Downscale the species area relationship (SAR) or endemics area relationship (EAR)downscaleSAR
Relationship between mean metabolic rate (\bar{epsilon}) and abundanceebar
Empirical SAR or EARempiricalSAR
gsneESFgsneESF
Individual Power Distributionipd ipd.meteESF
Compute log-likelihood of a meteDist objectlogLik.meteDist
Compute log-likelihood z-scorelogLikZ logLikZ.meteDist
meteDist2RankmeteDist2Rank
meteESFmeteESF
Equation of the PMF for the METE species metabolic rate distributionmeteNu
Equation of the METE species abundance distributionmetePhi
Equation of the PMF of the METE spatial species abundance distributionmetePi
Equation of the PMF for the METE individual metabolic rate distributionmetePsi
Compute METE species area relationship (SAR)meteSAR
meteSSFmeteSSF
Equation of the PMF for the METE Intra-specific metabolic rate distributionmeteTheta
Computes mean squared error for rank or cdfmse mse.meteDist
Compute z-score of mean squared errormseZ mseZ.meteDist
Plot the relationship between abundance and metabolic rate, i.e. objects of class damuthplot.damuth
Plot METE distributions and associated dataplot.meteDist
Plot predicted METE relationships and associated observed relationship seen in dataplot.meteRelat
Plot the species abundance distribution (SAR), i.e. objects of class sarplot.sar
predictESFpredictESF
print.damuthprint.damuth
Print summaries of 'meteDist' objectsprint.meteDist
print.meteESFprint.meteESF
Print summaries of 'meteRelat' objectsprint.meteRelat
print.sarprint.sar
Compute residuals between METE predictions and data of a meteDist objectresiduals.meteDist
Compute residuals between METE predictions and date of a meteRelat objectresiduals.meteRelat
METE species abundance distributionsad sad.meteESF
Generic method to obtain the species-level individual power distribution (SIPD)sipd sipd.meteESF
Species Power Distributionspd spd.meteESF
Species Spatial Abundance Distributionssad ssad.meteSSF
upscale SARupscaleSAR