generateId

A hash is generated based on the contents of the object

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.

Balasubramanian Narasimhan

distcomp

Computations over Distributed Data without Aggregation

Marina Bendersky

Sam Gross

Thomas Lumley

generateId function

<dl><dt>object</dt>
<dd>the object for which a hash is desired</dd>
<dt>algo</dt>
<dd>the algorithm to use, default is "xxhash64" from
<code><a href="/link/digest%3A%3Adigest()?package=distcomp&version=1.3-3" data-mini-rdoc="distcomp::digest::digest()">digest::digest()</a></code></dd></dl>

Arguments

Generate an identifier for an object — generateId

<dl>

<dt>object</dt>
<dd>the object for which a hash is desired</dd>


<dt>algo</dt>
<dd>the algorithm to use, default is "xxhash64" from
<code><a href='https://rdrr.io/pkg/digest/man/digest.html'>digest::digest()</a></code></dd>

</dl>

generateId: Generate an identifier for an object

Description

Usage

Value

Arguments

See Also