Meta-Analysis of Diagnosis and Prognosis Research Studies

Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) . It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) . Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) .


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Reference manual

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install.packages("metamisc")

0.2.5 by Thomas Debray, a month ago


https://r-forge.r-project.org/projects/metamisc/


Browse source code at https://github.com/cran/metamisc


Authors: Thomas Debray [aut, cre] , Valentijn de Jong [aut]


Documentation:   PDF Manual  


Task views: Meta-Analysis


GPL-3 license


Imports metafor, mvtnorm, lme4, dplyr, plyr, methods, pROC, ggplot2

Depends on stats, graphics

Suggests coda, runjags, rjags, ggmcmc, logistf, testthat


See at CRAN