Synthesizes information across collaborating research. Created specifically for Integrative Analysis of Longitudinal Studies of Aging (IALSA).
|Ubuntu 12.04 LTS||Windows Server 2012||Docker||Travis Tests||Wercker Tests|
An R package for synthesizing information across collaborating research.
IALSA (Integrative Analysis of Longitudinal Studies of Aging) research network unites approximately 100 longtidinal studies from all over the world. IALSA makes primary use of a coordinated analysis approach and various harmonization methods. Our projects involve dealing with multiple longitudinal studies, each of which may count numerous statistical models, making the synthesis of results particularly arduous. The
IalsaSynthesis package offers software tools for extracting, pooling, evaluating, and reporting the results of a large number of statistical models. See out flagship project, stemming from coordinated analysis workshop in Portland in February of 2015.
|Latest CRAN version||CRAN Downloads||Independently-hosted Archive|
The released CRAN version of IalsaSynthesis can be installed through R. (The release version will be available on CRAN closer to the Gothenburg conference.)
The latest development version of IalsaSynthesis can be installed from GitHub after installing the
install.packages("devtools") #If it's not already installed.devtools::install_github(repo="IALSA/IalsaSynthesis")
The package documentation for the development version on GitHub can be viewed without installing the package.
Consistent with IALSA goals, we encourage input and collaboration from the overall community. If you're familar with GitHub and R packages, feel free to submit a pull request. If you'd like to report a bug or make a suggestion, please create a GitHub issue; issues are a usually a good place to ask public questions too. However, feel free to email Andrey or Will privately ([email protected] or [email protected]).
IALSA is funded through an NIH/NIA Program Project Grant (P01AG043362; 2013-2018) to Oregon Health & Science University (Program Directors: Scott Hofer, Andrea Piccinin, Jeffrey Kaye, and Diana Kuh) and previously funded by NIH/NIA (R01AG026453; 2007-2013) and CIHR (103284; 2010-2013).
Code coverage over time: