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Rcpp: Seamless R and C++ Integration

Rcpp, R, C++, API, Open Source, Foreign Function Interface

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Rcpp: Seamless R and C++ Integration | rcpp.org Reviews
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Rcpp, R, C++, API, Open Source, Foreign Function Interface
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Rcpp: Seamless R and C++ Integration | rcpp.org Reviews

https://rcpp.org

Rcpp, R, C++, API, Open Source, Foreign Function Interface

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gallery.rcpp.org gallery.rcpp.org

Rcpp Gallery

Rcpp-Devel list at Gmane. Rcpp Gallery Articles and code examples for the Rcpp. Parsing Dates and Times. Mdash; Dirk Eddelbuettel. We demonstrate a new utility function built around the Boost Date Time parsing functions. Sampling Importance Resampling (SIR) and social revolution. Mdash; Jonathan Olmsted. We use SIR to characterize the posterior distribution of parameters associated with the probability of social revolution. Implementing an EM Algorithm for Probit Regressions. Mdash; Jonathan Olmsted.

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Rcpp book: Seamless R and C++ Integration with Rcpp

http://www.rcpp.org/book

Rcpp-Devel list at Gmane. The book is available from the publisher, Springer. As both a soft-cover version (ISBN 978-1-4614-6867-7), and an e-book (ISBN 978-1-4614-6868-4); institutions with a Springer Link subscription can also access it. Springer also provides electronic previews. The book is also available from. We are privileged to have a few words from readers of the final draft version. MIT Sloan School of Management. Department of Mathematical Sciences, Aalborg University, Denmark.

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newdatascientist.blogspot.com newdatascientist.blogspot.com

The Aspirational Data Scientist: Programming Languages for Big Data, Part 3

http://newdatascientist.blogspot.com/2014/08/programming-languages-for-big-data-part.html

How a Social Scientist Jumps into the World of Big Data. Becoming a data scientist. Monday, August 4, 2014. Programming Languages for Big Data, Part 3. The authors tried this, and revised their paper, reporting that, using Rcpp, R performed the task only 4-5 times slower than C . For details, see Tommy's blog post. And the revised paper. Labels: Data science commentary. Subscribe to: Post Comments (Atom). Online Course Review: Exploratory Data Analysis, f. Programming Languages for Big Data, Part 3.

petewerner.blogspot.com petewerner.blogspot.com

Shifting sands: March 2015

http://petewerner.blogspot.com/2015_03_01_archive.html

A man with a hammer. Tuesday, March 24, 2015. Simulation and relative performance. There’s been some nice posts on randomness the last week or so, in particular here. I would like to look at how we can use simulations to get a better understanding of how some aspect of a trading system holds up relative to a bunch of random trades. In this example, I look at entries on weekly data for SPY. The entry signal is to buy if the previous week closed down. It looks like this. We can see there’s not a lot ...

dreamhunter.me dreamhunter.me

+/-

http://dreamhunter.me/R_Fortran_Test_Notes

R Extension Test Note for Windows. Fortran Compiler and Usage. A contraction of Minimalist GNU for Windows, is a minimalist development environment for native Microsoft Windows applications. Http:/ www.mingw.org/. Provides a complete Open Source programming tool set which is suitable for the development of native MS-Windows applications, and which do not depend on any 3rd-party C-Runtime DLLs. A port of the GNU Compiler Collection (GCC), including C, C , ADA and Fortran compilers;. Is the equivalent of.

gallery.rcpp.org gallery.rcpp.org

sugar

http://gallery.rcpp.org/tags/sugar

Rcpp-Devel list at Gmane. Mdash; Daniel C. Dillon. An overview of interoperable iterator-based containers for Rcpp. Introducing Rcpp::algorithm. Mdash; Daniel C. Dillon. An overview of iterator-based algorithms for Rcpp. Gibbs Sampler in C. Mdash; Dirk Eddelbuettel. This example illustrate a popular MCMC sampler. Fast factor generation with Rcpp. Mdash; Kevin Ushey. We can make use of Rcpp sugar to implement a faster factor generator. Using the Rcpp sugar function clamp. Mdash; Dirk Eddelbuettel. Illustr...

metafor-project.org metafor-project.org

To-Do List / Planned Features [The metafor Package]

http://www.metafor-project.org/doku.php/todo

A Meta-Analysis Package for R. To-Do List / Planned Features. To-Do List / Planned Features. To-Do List / Planned Features. Extending ''rma.glmm()'' to Multilevel/Multivariate Models. Miscellaneous Features and Things To Do. To-Do List / Planned Features. Below is a to-do list and a description of planned features that I would like to implement in the. While the principles underlying this method can be applied to various outcome measures used in meta-analyses, it is most commonly used when meta-analyzing...

dirk.eddelbuettel.com dirk.eddelbuettel.com

Rcpp: Seamless R and C++ Integration

http://dirk.eddelbuettel.com/code/rcpp.html

The Rcpp package provides C classes that greatly facilitate interfacing C or C code in R packages using the. Interface provided by R. Rcpp provides matching C classes for a large number of basic R data types. Hence, a package author can keep his data in normal R data structures without having to worry about translation or transfering to C . At the same time, the data structures can be accessed as easily at the C level, and used in the normal manner. Transfer from R to C , and from C to R. Starting with r...

blenditbayes.blogspot.com blenditbayes.blogspot.com

Blend it like a Bayesian!: Things to try after useR! - Part 1: Deep Learning with H2O

http://blenditbayes.blogspot.com/2014/07/things-to-try-after-user-part-1-deep.html

Blend it like a Bayesian! My journey into the wonderful world of data science. Friday, 25 July 2014. Things to try after useR! Part 1: Deep Learning with H2O. Annual R User Conference 2014. Was a mind-blowing experience. Hundreds of R enthusiasts and the beautiful UCLA campus, I am really glad that I had the chance to attend! The only problem is that, after a few days of non-stop R talks, I was (and still am) completely overwhelmed with the new cool packages and ideas. Let me start with H2O. To further i...

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xeque | number eight testing

February 26th, 2013 by Damian. I’m so sick of test cases. I wish they were dead. Yes, that’s right. Frigging test cases. I hate their smugness. The way they sit there with their tedious screeds of text, secure in the warm glow of adoration they get cast upon them by everyone who doesn’t have to write the bastard. Oh, all right, fine – I don’t have deep philosophical objections. To test cases, nor to your customers who ask for them. What I object to is over-inflation of their use to The One True Way.

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Rcpp: Seamless R and C++ Integration

Rcpp-Devel list at Gmane. Rcpp for Seamless R and C Integration. The Rcpp package has become the most widely used language extension for R. The powerful environment and language for computing with data. As of May 2015, 379 packages on CRAN. And a further 57 on BioConductor. Deploy Rcpp to extend R, to accelerate computations and to connect to other C projects. This page provides a few pointers to other popular packages using Rcpp, as well as to a few related external sites. Learn More ». RcppEigen gives ...

rcpp.r-forge.r-project.org rcpp.r-forge.r-project.org

rcpp

Welcome to Rcpp - Seamless R and C Integration project! The Rcpp package provides a C library which facilitates the integration of R and C . R data types (SEXP) are matched to C objects in a class hierarchy. All R types are supported and each type is mapped to a dedicated class. The project summary page. You can find here.

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