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intuitive software for advanced meta-analysis
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+++++++++++++++++++++++++++++ + + + OpenMetaAnalyst + + + +++++++++++++++++++++++++++++ To run OpenMetaAnalyst from source, you'll need to install the corresponding dependencies. If you're interested in simply running the program (i.e., not from source) consider grabbing a binary build (for Windows and Mac OS X) from: http://www.cebm.brown.edu/open_meta Otherwise, you'll need to install the necessary R packages. First install the dependencies: From within a sudo-ed R session type: > install.packages(c("metafor","lme4","MCMCpack","igraph")) Next, you'll need to build and install the openmetar packages and altered HSROC (NOT THE ONE FROM CRAN) package and install them. These package are distributed with the source under the "src/R" directory. > R CMD build HSROC > R CMD build openmetar > sudo R CMD INSTALL HSROC_2.0.5.tar.gz > sudo R CMD INSTALL openmetar_1.0.tar.gz On this branch, we have moved to R 3.1! Once R is setup for OpenMeta, you'll need to install Python (we use 2.7) and the necessary libraries. You'll need PyQT (and QT: see http://www.riverbankcomputing.co.uk/software/pyqt/intro) installed -- we use PyQt 4.10; your mileage may vary with other versions. Next, install rpy2 (rpy.sourceforge.net/rpy2.html) in Python. Verify that all is well by executing: > import rpy2 > from rpy2 import robjects At the Python console. That should be all you need. Once everything is setup, you can launch the program by typing: > python src/launch.py At the console. This should fire up the GUI. For running nosetests: these should be run from within the src folder: nosetests -v test_meta_analysis.py (important)? dependency versions: R : 3.X metafor: 1.6.0ish pyqt4 : 4.10ish