Package: CopulaREMADA 1.7.3
Aristidis K. Nikoloulopoulos
CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests in Nikoloulopoulos (2022) <doi:10.1111/rssa.12838>. The multinomial six-variate 1-truncated D-vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024) <doi:10.1177/09622802241269645>. The 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard (Nikoloulopoulos, 2024).
Authors:
CopulaREMADA_1.7.3.tar.gz
CopulaREMADA_1.7.3.tar.gz(r-4.5-noble)CopulaREMADA_1.7.3.tar.gz(r-4.4-noble)
CopulaREMADA_1.7.3.tgz(r-4.4-emscripten)CopulaREMADA_1.7.3.tgz(r-4.3-emscripten)
CopulaREMADA.pdf |CopulaREMADA.html✨
CopulaREMADA/json (API)
| # Install 'CopulaREMADA' in R: |
| install.packages('CopulaREMADA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- CT - The computing tomography data
- Down - The down syndrome data
- LAG - The lymphangiography data
- MK2016 - The coronary CT angiography data in Menke and Kowalski (2016).
- MRI - The magnetic resonance imaging data
- OGT - The orale glucose tolerance data
- Pap - The Pap test data
- arthritis - The rheumatoid arthritis data
- betaDG - The beta-D-Glucan-data
- coronary - The coronary CT angiography data
- mgrid - A list containing four-dimensional arrays
- mgrid15 - A list containing four-dimensional arrays
- mgrid30 - A list containing four-dimensional arrays
- mgrid50 - A list containing four-dimensional arrays
- mgrid5d15 - A list containing five-dimensional arrays
- mgrid5d30 - A list containing five-dimensional arrays
- telomerase - The telomerase data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:7f7d5607eb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 17 2024 |
| R-4.5-linux | OK | Nov 17 2024 |
Exports:CopulaREMADA.betaCopulaREMADA.normcountermonotonicCopulaREMADA.betacountermonotonicCopulaREMADA.normcountermonotonicity.vuongcvinesimdbvndclndcln180dcln270dcln90dfrkdtrvinesimdvine6dsimdvinesimFactorCopulaREMADA.betaFactorCopulaREMADA.normhybridCopulaREMADA.betahybridCopulaREMADA.normimperfect.fivevariateVineCopulaREMADA.beta.comprehensiveimperfect.fivevariateVineCopulaREMADA.norm.comprehensiveimperfect.quadrivariateVineCopulaREMADA.beta.comprehensiveimperfect.quadrivariateVineCopulaREMADA.norm.comprehensiveimperfect.trivariateVineCopulaREMADA.betaimperfect.trivariateVineCopulaREMADA.beta.comprehensiveimperfect.trivariateVineCopulaREMADA.normimperfect.trivariateVineCopulaREMADA.norm.comprehensiveimperfectCopulaREMADA.betaimperfectCopulaREMADA.normimperfectREMADA.betaimperfectREMADA.normmultinom6dVineCopulaREMADA.betamultinom6dVineCopulaREMADA.normmultinomVineCopulaREMADA.betamultinomVineCopulaREMADA.normpcondbvnpcondclnpcondcln180pcondcln270pcondcln90pcondfrkqcondbvnqcondclnqcondcln180qcondcln270qcondcln90qcondfrkquadVineCopulaREMADA.betaquadVineCopulaREMADA.normquadVineCopulaREMADA.norm.betarclnrcln180rcln270rcln90rCopulaREMADA.betarCopulaREMADA.normrFactorCopulaREMADA.betarFactorCopulaREMADA.normrfrkrimperfect.trivariateVineCopulaREMADA.betarimperfect.trivariateVineCopulaREMADA.normrmultinom6dVineCopulaREMADA.betarmultinom6dVineCopulaREMADA.normrmultinomVineCopulaREMADA.betarmultinomVineCopulaREMADA.normrVineCopulaREMADA.betarVineCopulaREMADA.normSROCSROC.betaSROC.normtau2par.bvntau2par.clntau2par.cln180tau2par.cln270tau2par.cln90tau2par.frktmultinomVineCopulaREMADA.betatmultinomVineCopulaREMADA.normtvine.vuong.betatvine.vuong.normtvine2.vuong.betatvine2.vuong.normtVineCopulaREMADA.betatVineCopulaREMADA.normvine.vuong.betavine.vuong.normVineCopulaREMADA.betaVineCopulaREMADA.normvuong.betavuong.norm
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSmatlabMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstatmodstringistringrsurvivaltensortibbletidyrtidyselectutf8vctrsviridisLitewithr
