makeMaster

The function <code>makeMaster</code> returns a master object
corresponding to the definition. The types of master objects
that can be created depend upon the available computations

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

makeMaster function

<dl><dt>defn</dt>
<dd>the computation definition</dd>
<dt>partyNumber</dt>
<dd>the number of the noncooperating party, which
can be optionally set if HE is desired</dd>
<dt>debug</dt>
<dd>a debug flag</dd></dl>

Arguments

Make a master object given a definition — makeMaster

<dl>

<dt>defn</dt>
<dd>the computation definition</dd>


<dt>partyNumber</dt>
<dd>the number of the noncooperating party, which
can be optionally set if HE is desired</dd>


<dt>debug</dt>
<dd>a debug flag</dd>

</dl>

makeMaster: Make a master object given a definition

Description

Usage

Value

Arguments

See Also