metamisc: 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) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.

Package details

AuthorThomas Debray [aut, cre] (<https://orcid.org/0000-0002-1790-2719>), Valentijn de Jong [aut] (<https://orcid.org/0000-0001-9921-3468>)
MaintainerThomas Debray <thomas.debray@gmail.com>
LicenseGPL-3
Version0.2.6
URL https://r-forge.r-project.org/projects/metamisc/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("metamisc", repos="http://R-Forge.R-project.org")

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metamisc documentation built on Oct. 13, 2021, 3 p.m.