Hej, Melbourne #rstats folks! Please join me for my in-person workshop on C++ Programming for Faster Statistical Modelling in R on Monday, Sep 29!

Lot's of goodies for econometricians and statisticians here!

Register at: https://wombat2025.numbat.space/

#rstats #rcpp

Code written in C++ runs significantly faster than code written in R, which provides the basis for many leading R packages. Such a design enables users to leverage the best of both worlds: the computational speed delivered by algorithms written in C++ and the convenience of data analysis using R. Fortunately, recent developments have simplified programming in C++ for R applications by automating many processes.
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In this session, Tomasz will guide attendees through the basics of this approach, working in RStudio, ensuring object compatibility, using basic algorithmic structures and functional programming, and extending R packages with C++ code. A sequence of hands-on exercises with applications to every statistical modeller toolset, including linear algebra, maximum likelihood estimation, and Gibbs sampling, supports all this.
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@tomaszwozniak
Next thesis: assembly language faster than C++...