Package: agRee 0.5-3

agRee: Various Methods for Measuring Agreement

Bland-Altman plot and scatter plot with identity line for visualization and point and interval estimates for different metrics related to reproducibility/repeatability/agreement including the concordance correlation coefficient, intraclass correlation coefficient, within-subject coefficient of variation, smallest detectable difference, and mean normalized smallest detectable difference.

Authors:Dai Feng

agRee_0.5-3.tar.gz
agRee_0.5-3.zip(r-4.7)agRee_0.5-3.zip(r-4.6)agRee_0.5-3.zip(r-4.5)
agRee_0.5-3.tgz(r-4.6-any)agRee_0.5-3.tgz(r-4.5-any)
agRee_0.5-3.tar.gz(r-4.7-any)agRee_0.5-3.tar.gz(r-4.6-any)
agRee_0.5-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
agRee/json (API)

# Install 'agRee' in R:
install.packages('agRee', repos = c('https://daifengstat.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

jagscpp

2.35 score 45 scripts 314 downloads 5 mentions 6 exports 34 dependencies

Last updated from:c2be14f241. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK144
linux-release-x86_64OK152
macos-release-arm64OK189
macos-oldrel-arm64OK217
windows-develOK104
windows-releaseOK155
windows-oldrelOK102
wasm-releaseOK108

Exports:agree.cccagree.icc1agree.plotagree.sddagree.sddmagree.wscv

Dependencies:abindbootclicodagluelatticelifecyclelme4magrittrMASSMatrixMatrixModelsmcmcMCMCpackminqamiscFmvtnormnlmenloptrquantregR2jagsR2WinBUGSrbibutilsRcppRcppEigenRdpackreformulasrjagsrlangSparseMstringistringrsurvivalvctrs

Readme and manuals

Help Manual

Help pageTopics
Concordance Correlation Coefficientagree.ccc ccc.lognormalNormal.mcmc ccc.mm ccc.mvn.mcmc ccc.mvt.mcmc ccc.nonpara.bootstrap ccc.nonpara.jackknife
Intraclass correlation coefficient for one-way random anova modelagree.icc1 icc1.sf
Visualize the Agreement of Ratings among Different Ratersagree.plot
Smallest Detectable Differenceagree.sdd
Mean Normalized Smallest Detectable Differenceagree.sddm
Within-subject Coefficient of Variationagree.wscv wscv.delta wscv.vst
Ratings of Different JudgesjudgeRatings
Total Lesion BurdenlesionBurden lesionBurden.G lesionBurden.M
PET Total Volume of Distributionamygdala brainStem cerebellum petVT