I prepared a network in the memory of David Bowie two years after he passed away. His music touched me. Here is the network. My sources were: the collaboration I knew + googling to verify those and adding others. [Read more...]

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An updated version of my package fancycut is on CRAN. The package has one function, fancycut(), that is more versatile than cut() for certain applications. cut() takes a numeric vector and turns it into a factor or categorical vector. It works best ... [Read more...]

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With the support of ACTINFO Chair and the (French) Institute of Actuaries, our Third Actuarial Pricing Game starts today ! There is a toolbox file available online, with a description of the game : the rules, the dates, and a description of the datasets 3 datasets : one underwriting and one claims databases, for ... [Read more...]

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Today, Rcpp passed another milestone as 900 packages on CRAN now depend on it (as measured by Depends, Imports and LinkingTo declarations). The graph is on the left depicts the growth of Rcpp usage over time. The easiest way to compute this is to us... [Read more...]

A new version, now at 0.2.0, of RcppCCTZ is now on CRAN. And it brings a significant change: windows builds! Thanks to Dan Dillon who dug deep enough into the libc++ sources from LLVM to port the std::get_time() function that is missing from the 4.* ... [Read more...]

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When and Where? In 2017, we are hosting the workshop at LMU Munich. The workshop will run from 6 March to 10 March 2017 (potentially including the sunday before and the saturday at the end), hosted by the Ludwig-Maximilians-University Munich (Address: Geschwister-Scholl-Platz 1, Room: M203). It is also possible to arrive on Saturday or Sunday, ... [Read more...]

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Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it ... [Read more...]

An updated version of my package fancycut is on CRAN. The package has one function, fancycut(), that is more versatile than cut() for certain applications. cut() takes a numeric vector and turns it into a factor or categorical vector. It works best when they are no gaps in the intervals ... [Read more...]