Software
CRAN task views
Selected R packages
Repository Dashboard R Universe
Tidy time series analysis and forecasting
Tidy Temporal Data Frames and Tools: as described in Wang, Cook & Hyndman (2020).
Feature Extraction and Statistics for Time Series: as described in Hyndman & Athanasopoulos (2021).
Core Tools for Packages in the ‘fable’ Framework: as described in Hyndman & Athanasopoulos (2021).
Forecasting Models for Tidy Time Series: as described in Hyndman & Athanasopoulos (2021).
Supporting Graphs for Analysing Time Series: as described in Wang, Cook & Hyndman (2020).
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020).
Other time series analysis and forecasting
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008).
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020).
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019).
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017).
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017).
Breaks for Additive Season and Trend: as described in Verbesselt et al (2010a) and Verbesselt et al (2010b).
CONDitional UI for Time Series normalisation: as described in Gamakumara et al (2023).
Feature-Based Forecast Model Selection: as described in Talagala, Hyndman & Athanasopoulos (2018).
Seasonal Trend Decomposition Using Regression: as described in Dokumentov & Hyndman (2020).
Monash Electricity Forecasting Model: as described in Hyndman & Fan (2010).
Time series data
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley.
Data sets from Hyndman, Koehler, Ord & Snyder (2008), Forecasting with exponential smoothing: the state space approach, Springer.
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts.
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts.
Time series data from comp-engine.org.
Anomaly detection
Functions and data sets from Hyndman (2024) That’s weird: anomaly detection using R, OTexts.
Leave One Out Kernel Density Estimates for Outlier Detection: as described in Kandanaarachchi and Hyndman (2021).
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021).
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020).
Outlier Detection in Data from Water-Quality Sensors: as described in Talagala, Hyndman, Leigh, Mengersen & Smith-Miles (2019).
Anomaly Detection in Temporal Networks: as described in Kandanaarachchi & Hyndman (2022).
Functional data and demography
Forecasting Mortality, Fertility, Migration and Population Data: as described in Hyndman, Booth & Yasmeen (2013) and Hyndman & Ullah (2007).
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010).
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001).
Rmarkdown
Other
Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting: as described in Wang & Hyndman (2024).
Exploring Election and Census Highly Informative Data Nationally for Australia: as described in Forbes, Cook & Hyndman (2020).
Visualisation of Highest Density Regions in ‘ggplot2’: as described in Hyndman (1996).
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996).
Quarto extensions
Monash University templates
Monash Exam Template
Create an exam for Monash Business School.
quarto use template quarto-monash/exam
Monash Letter Template
Create a letter on Monash Business School letterhead.
quarto use template quarto-monash/letter
Monash Memo Template
Create a memo with optional Monash Business School branding.
quarto use template quarto-monash/memo
Monash Presentation Template
Create a Monash University themed presentation using either Beamer or RevealJS.
quarto use template quarto-monash/presentation
Monash Report Template
Create a Monash Business School consulting report.
quarto use template quarto-monash/report
Monash Thesis Template
Create a Monash University thesis.
quarto use template quarto-monash/thesis
Monash Honours Thesis Template
Create a Monash University honours thesis.
quarto use template quarto-monash/honours-thesis
Monash Unit Template
Create a unit website for Monash Business School.
quarto use template quarto-monash/unit
Monash Working Paper Template
Create a working paper for the Department of Econometrics & Business Statistics, Monash University.
quarto use template quarto-monash/workingpaperOther templates
IMS Journal Template
Create a submission for an IMS journal such as Statistical Science or Annals of Applied Statistics.
quarto use template robjhyndman/quarto-ims-journals