Package: rptR 0.9.22

rptR: Repeatability Estimation for Gaussian and Non-Gaussian Data

Estimating repeatability (intra-class correlation) from Gaussian, binary, proportion and Poisson data.

Authors:Martin Stoffel <[email protected]>, Shinichi Nakagawa <[email protected]>, Holger Schielzeth <[email protected]>

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rptR.pdf |rptR.html✨
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NEWS

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

Bug tracker:https://github.com/mastoffel/rptr/issues

Datasets:

On CRAN:

Conda:

8.53 score 17 stars 2 packages 112 scripts 651 downloads 132 mentions 5 exports 14 dependencies

Last updated 6 months agofrom:71b735ac8b. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-winNOTEMar 23 2025
R-4.5-macNOTEMar 23 2025
R-4.5-linuxNOTEMar 23 2025
R-4.4-winNOTEMar 23 2025
R-4.4-macNOTEMar 23 2025
R-4.4-linuxNOTEMar 23 2025
R-4.3-winNOTEMar 23 2025
R-4.3-macNOTEMar 23 2025

Exports:rptrptBinaryrptGaussianrptPoissonrptProportion

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrpbapplyrbibutilsRcppRcppEigenRdpackreformulas

An introduction to repeatability estimation with rptR

Martin A. Stoffel, Shinichi Nakagawa & Holger Schielzeth

Rendered fromrptR.Rmdusingknitr::rmarkdownon Mar 23 2025.

Last update: 2017-04-25
Started: 2016-09-07