R packages authored by ACEMS Members

One way ACEMS members translate their methodological research into practice is via R packages. R is an open-source language for statistical computing and data analysis. Research can be shared by putting R packages on the Comprehensive R Archive Network (CRAN), or on github, or some other public code repository. R packages allow anyone to implement cutting-edge research on their own data.

At the end of 2018, ACEMS members had contributed a total of 49 packages on CRAN, plus many more on github. During 2018, the CRAN packages were downloaded a total of 2,114,983 times, and one (the forecast package by Rob Hyndman) was downloaded over 1 million times! The table below shows all ACEMS packages that were downloaded more than 5000 times each during 2018.

ACEMS attendees at the UseR Conference in Brisbane

ACEMS attendees at the UseR Conference in Brisbane

Rob Hyndman speaks at the R Meet Up in New York

Rob Hyndman speaks at the R Meet Up in New York

Package Total downloads in 2018 Maintainer ACEMS node
forecast 1115105 Rob Hyndman Monash University
expsmooth 319079 Rob Hyndman Monash University
fma 164280 Rob Hyndman Monash University
ffp 152439 Rob Hyndman Monash University
fpp2 44524 Rob Hyndman Monash University
ftsa 34744 Han Shang
hts 28483 Earo Wang Monash University
visdat 27665 Nicholas Tierney Monash University
naniar 27107 Nicholas Tierney Monash University
hdrcde 21826 Rob Hyndman Monash University
Mcomp 16740 Rob Hyndman Monash University
rainbow 14654 Han Shang
tsibble 10102 Earo Wang Monash University
datapasta 10047 Miles McBain Queensland University of Technology
demography 9622 Rob Hyndman Monash University
season 8455 Adrian Barnett Queensland University of Technology
bayesImageS 7832 Matt Moores Queensland University of Technology
bfast 7244 Jan Verbesselt
LowRankQP 5697 Matt Wand University of Technology Sydney
SSN 5633 Jay Hoef
sugrrants 5598 Earo Wang Monash University
thief 5125 Rob Hyndman Monash University
dobson 5119 Adrian Barnett Queensland University of Technology

The following graph shows all packages authored by ACEMS members other than those downloaded more than 30,000 times during 2018.