The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The package dosresmeta consists of a collection of
functions to estimate dose-response relations from summarized
dose-response data for both continuous and binary outcomes, and to
combine them according to principles of (multivariate) random-effects
model. The methodology is illustrated in the referenced article.
dosresmeta packageThe package is available on the Comprehensive R Archive Network (CRAN), with info at the related web page (https://CRAN.R-project.org/package=dosresmeta). A development website is available on GitHub (https://github.com/alecri/dosresmeta).
For a short summary of the package, refer to the main help page by typing:
help("dosresmeta-package")in R after installation (see below).
The last version officially released on CRAN can be installed directly within R by typing:
install.packages("dosresmeta")A version still under developement is avaiable on GitHub and can be installed by typing:
install.packages("devtools")
devtools::install_github("alecri/dosresmeta")Several peer-reviewed articles and documents provide R code illustrating methodological developments or replicating substantive results. An updated version of the code can be found at the GitHub (https://github.com/alecri) or personal web page (https://alecri.github.io/software/dosresmeta.html) of the package maintainer.
Crippa A, Orsini N. Multivariate Dose-Response Meta-Analysis: the dosresmeta R Package. Journal of Statistical Software, Code Snippets,. 2016; 72(1), 1-15. doi:10.18637/jss.v072.c01. [freely available here]
Crippa A, Orsini N. Dose-response meta-analysis of differences in means. BMC Medical Research Methodology. 2016 Aug 2;16(1):91. [freely available here] [GitHub repository at this link]
Discacciati A, Crippa A, Orsini N. Goodness of fit tools for dose-response meta-analysis of binary outcomes. Research Synthesis Methods. 2015 Jan 1. doi: 10.1002/jrsm.1194. [freely available here] [GitHub repository at this link]
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.