CRAN/E | distcomp

distcomp

Computations over Distributed Data without Aggregation

Installation

About

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 and includes facilities for local prototyping and testing. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.

Citation distcomp citation info
dx.doi.org/10.18637/jss.v077.i13
Copyright inst/COPYRIGHTS distcomp copyright details

Key Metrics

Version 1.3-3
R ≥ 3.5.0
Published 2022-09-01 603 days ago
Needs compilation? yes
License LGPL-2
License LGPL-2.1
License LGPL-3
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Maintainer

Maintainer

Balasubramanian Narasimhan

naras@stat.Stanford.EDU

Authors

Balasubramanian Narasimhan

aut / cre

Marina Bendersky

aut

Sam Gross

aut

Terry M. Therneau

ctb

Thomas Lumley

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Prototyping Distributed Computations

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

distcomp archive

Depends

survival
stats
R ≥ 3.5.0

Imports

utils
shiny
httr ≥ 1.0.0
digest
jsonlite
stringr
R6 ≥ 2.0
dplyr
rlang
magrittr
homomorpheR
gmp

Suggests

opencpu
knitr
covr
rmarkdown