R

Blogs on the R software.

Fitting a distribution in Stan from scratch

September 27, 2016
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Fitting a distribution in Stan from scratch

Last week the French National Institute of Health and Medical Research (Inserm) organised with the Stan Group a training programme on Bayesian Inference with Stan for Pharmacometrics in Paris. Daniel Lee and Michael Betancourt, who run the course over ...

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an inverse permutation test

September 22, 2016
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an inverse permutation test

A straightforward but probabilistic riddle this week in the Riddler, which is to find the expected order of integer i when the sequence {1,2,…,n} is partitioned at random into two sets, A and B, each of which is then sorted before both sets are merged. For instance, if {1,2,3,4} is divided in A={1,4} and B={2,3}, […]

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Short Course on R and Data Mining, University of Canberra, Fri 7 Oct 2016

September 20, 2016
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Short Course on R and Data Mining, University of Canberra, Fri 7 Oct 2016

Short Course on R and Data Mining Information Technology and Engineering, University of Canberra Fees: There is no fees for the short course but seats are limited to 60 – so register early through http://www.meetup.com/CanberraDataSci/events/234168862/ Presenters: Dr Yanchang Zhao (Adjunct … Continue reading →

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vecpack: an R package for packing stuff into vectors

September 18, 2016
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vecpack: an R package for packing stuff into vectors

Here’s a problem I’ve had again and again: let’s say you’ve defined a statistical model with several parameters. One of them is a scalar. Another is a matrix. The third one is a vector, and so on. When fitting the model the natural thing to do is to write a likelihood function that takes as […]

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New features in imager 0.30

September 13, 2016
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New features in imager 0.30

imager is an R package for image processing, based on CImg. This new release brings many new features, including: Support for automatic parallel processing using OpenMP. A new S3 class, imlist, which makes it easy to work with image lists New functions for interactively selecting image regions (grabRect,grabPoint,grabLine) Experimental support for CImg’s byte-compiled DSL via […]

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Telco churn prediction with R+H2O

September 12, 2016
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Recently together with my friend Wit Jakuczun we have discussed about a blog post on Revolution showing application of SQL Server R services to build and run telco churn model. It is a very nice analysis and we thought that it would be interesting...

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Open Science and research quality at the German conference on psychology (DGPs congress in Leipzig)

September 9, 2016
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From 17th to 22th September, the 50th anniversary congress of the German psychological association takes place in Leipzig. On previous conferences in Germany in the last two or three years, the topic of the credibility crisis and research transparency ...

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googleVis 0.6.1 on CRAN

September 6, 2016
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googleVis 0.6.1 on CRAN

We released googleVis version 0.6.1 on CRAN last week. The update fixes issues with setting certain options, following the switch from RJSONIO to jsonlite. Screen shot of some of the Google ChartsNew to googleVis? The package provides an interface betw...

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astroABC: ABC SMC sampler for cosmological parameter estimation

September 5, 2016
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astroABC: ABC SMC sampler for cosmological parameter estimation

“…the chosen statistic needs to be a so-called sufficient statistic in that any information about the parameter of interest which is contained in the data, is also contained in the summary statistic.” Elise Jenningsa and Maeve Madigan arXived a paper on a new Python code they developed for implementing ABC-SMC, towards astronomy or rather cosmology […]

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Matlab goes deep [learning]

September 5, 2016
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Matlab goes deep [learning]

A most interesting link I got when reading Le Monde, about MatLab proposing deep learning tools…Filed under: Books, pictures, R, Statistics, University life Tagged: deep learning, Le Monde, Matlab

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