Software development

Many academic staff and postgraduate students within Econometrics and Business Statistics are active developers of open-source R packages. Our packages have been downloaded by users all over the world millions of times. Packages with more than 1500 downloads per month are listed below.

 DescriptionMonash authorsAverage downloads per month
forecast: Forecasting Functions for Time Series and Linear ModelsThe R package forecast provides methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.Rob J Hyndman, Earo Wang, Christoph Bergmeir, Mitchell O’Hara-Wild, George Athanasopoulos247960
Ggally: extension to ggplot2The purpose of this function is to quickly plot the coefficients of a model.Di Cook75455
tsibble: Tidy Temporal Data Frames and ToolsThe tsibble package provides a data class of tbl_ts to represent tidy temporal data. A tsibble consists of a time index, key and other measured variables in a data-centric format, which is built on top of the tibbleEaro Wang, Rob Hyndman, Di Cook, Mitchell O’Hara-Wild15168
naniar: Data Structures, Summaries, and Visualisations for Missing Datananiar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot2 and tidy data.Nick Tierney, Di Cook, Mitchell O’Hara-Wild13116
fmaData Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)Rob J Hyndman12687
hts: Hierarchical and Grouped Time SeriesThe R package hts presents functions to create, plot and forecast hierarchical and grouped time series.Earo Wang Rob J Hyndman, Shanika Wickramasuriya11598
fpp2: Data for “Forecasting: Principles and Practice”All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.Rob J Hyndman11260
fabletoolsCore Tools for Packages in the 'fable' FrameworkMitchell O'Hara-Wild, Rob J Hyndman9546
tsfeaturesTime Series Feature ExtractionRob Hyndman, Fin Yang, Mitchell O'Hara-Wild8910
thief: Temporal HIErarchical ForecastingThe R package thief provides methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.Rob J Hyndman8598
fableForecasting Models for Tidy Time SeriesMitchell O'Hara-Wild, Rob J Hyndman7932
distributionalVectorised distribution objects with tools for manipulating, visualising, and using probability distributionsMitchell O'Hara-Wild7538
feastsFeature Extraction and Statistics for Time SeriesMitchell O'Hara-Wild, Rob J Hyndman7049