CV, publication list and general information

Link to my Iris page
List of publications

Software

Link to the latest version of our R package 'mia' (Statistical Modelling and Radiomics Tools for Medical Imaging Analysis).

To install the package, run these instructions within R:
library(devtools)
install_github("ericwol/mia")
library(mia)

Teaching (2019-20)

Some resources about R, computational statistics and statistical learning

+ Keeping up

Follow Hadley Wickham himself or check out his website...
Arthur Charpentier's blog and Twitter...
... and find your own track from there.

+ Some books with online resources

The Elements of Statistical Learning by Hastie, Tibshirani and Friedman
Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani
"Time Series Analysis and Its Applications: With R Examples" by Schumway and Stoffer
Arthur Charpentier's "Computational Actuarial Science With R"

+ Official CRAN resources for R

The R Project: http://cran.r-project.org/
Introduction to R (html): http://cran.r-project.org/doc/manuals/R-intro.html
Introduction to R (pdf): http://cran.r-project.org/doc/manuals/R-intro.pdf
Introduction to the R language: http://cran.r-project.org/doc/manuals/R-lang.html

+ Other online tutorials and helpful links

Freakonometrics points to 2 minute-long video tutorials: http://freakonometrics.hypotheses.org/9069
With statistical examples: http://www.cyclismo.org/tutorial/R/
With more advanced statistical examples: http://www.r-tutor.com/
Another presentation of R with interesting links: https://www.guru99.com/r-tutorial.html
R or Python??? An infographic (2015)
Advanced R with C/C++ integration: "Advanced R" by Hadley Wickham
This paper: A great introduction to Rcpp by its authors Douglas Bates and Dirk Eddelbuettel
See also this post on fast linear modeling...
Useful if using Rcpp: C++ Armadillo library
Also useful if using Rcpp: Rcpp's gallery!
Advanced R memory usage: "Advanced R" by Hadley Wickham (again!)
Also to speed things up: Parallel Programming with GPUs and R
Also on memory usage: A useful overview by Matthew C Keller
On cmpfun(), R's compiler, and R code profiling: an illustrated guide by Noam Ross
Freakonometrics: http://freakonometrics.hypotheses.org
Addicted to R's great library on R graphics: "Improving-the-graph-gallery"
A good talk about R: The R Language The Good The Bad And The Ugly - John Cook
Lots and lots of interesting posts on 'Revolutions': (Must still get my head around that one!)
For some more exotic stuff: http://blog.r-enthusiasts.com/ (used to be at http://romainfrancois.blog.free.fr)
A UNIX-oriented approach: http://zoonek2.free.fr/UNIX/48_R/01.html