distcomp: Computations over Distributed Data without Aggregation
Version 1.0-1

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.

Getting started

Package details

AuthorBalasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Date of publication2017-05-16 19:08:02 UTC
MaintainerBalasubramanian Narasimhan <naras@stat.Stanford.EDU>
LicenseLGPL (>= 2)
Version1.0-1
URL http://dx.doi.org/10.18637/jss.v077.i13
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("distcomp")

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distcomp documentation built on May 30, 2017, 6:24 a.m.