Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.

Documentation

Manual: distcomp.pdf
Vignette: None available.

Maintainer: Balasubramanian Narasimhan <naras at stat.Stanford.EDU>

Author(s): Balasubramanian Narasimhan*, Marina Bendersky*, Sam Gross*, Terry M. Therneau*, Thomas Lumley*

Install package and any missing dependencies by running this line in your R console:

install.packages("distcomp")

Depends survival, stats, R (>= 3.1.0)
Imports utils, shiny, httr(>=1.0.0), digest, jsonlite, stringr, R6(>=2.0)
Suggests opencpu
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Package distcomp
Materials
URL http://dx.doi.org/10.18637/jss.v077.i13
Task Views
Version 1.0-1
Published 2017-05-16
License LGPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks distcomp check results
Package source distcomp_1.0-1.tar.gz