Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
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Propensity score analysis 2<br />
We will share some of the difficulties that we have encountered <strong>and</strong> describe further<br />
possibilities for this architecture, <strong>in</strong> particular with regard to our bus<strong>in</strong>ess, which is an<br />
<strong>in</strong>ternet based quantitative market research company.<br />
In summary, the philosophy of this implementation is to only use R for it’s analytic<br />
capabilities, with all representation <strong>and</strong> presentation decisions rely<strong>in</strong>g on the XML/XSLT<br />
paradigm.<br />
References<br />
[1] D. Meyer, F. Leisch, T. Hothorn, <strong>and</strong> K. Hornik, StatDataML: An XML format<br />
for statistical data, Computational Statistics, (2004, Forthcom<strong>in</strong>g).<br />
[2] P. Rosenbaum <strong>and</strong> D. B. Rub<strong>in</strong>, The central role of the propensity score <strong>in</strong> observational<br />
studies for causal effects, Biometrika, 70 (1983), pp. 41–55.