Titlebook: Seamless R and C++ Integration with Rcpp; Dirk Eddelbuettel Book 2013 The Author 2013 C++.Computational Statistics.Practitioner Book.R.Rcp

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Dirk Eddelbuetteladdress long-term planning perspectives of dam construction and maintenance. We illustrate how the misperception of proper discounting in the presence of potential catastrophic events may overlook the need for dam maintenance and undermine regional safety. The proposed model can be used as a learnin

Ingredient

Dirk Eddelbuettelof stakeholders, this chapter introduces Part I of the volume, including cases on the management of flash flood risk in Vienna, Austria, an earthquake insurance program for the Tuscany region in Italy, balancing stakeholder concerns in establishing flood risk management strategies in northern Vietna

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Dirk Eddelbuettelview of semiconductor-based and CMOS-based transducer structures for chemical sensors is given. CMOS-technology is then introduced as platform technology, which enables the integration of these microtransducers with the necessary driving and signal conditioning circuitry on the same chip. In a next

Cholagogue

view of semiconductor-based and CMOS-based transducer structures for chemical sensors is given. CMOS-technology is then introduced as platform technology, which enables the integration of these microtransducers with the necessary driving and signal conditioning circuitry on the same chip. In a next

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Seamless R and C++ Integration with Rcpp978-1-4614-6868-4Series ISSN 2197-5736 Series E-ISSN 2197-5744

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https://doi.org/10.1007/978-1-4614-6868-4C++; Computational Statistics; Practitioner Book; R; Rcpp Packages; Seamless

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Data Structures: Part OneThis chapter first discusses the . class at the heart of the . class system. While . is not meant to be used directly, it provides the foundation upon which many important and frequently-used classes are built. We then introduce the two core vector types . and .. Other related vector types are briefly discussed at the end of the chapter.