CRAN task views

Selected R packages I’ve coauthored

Tidy time series analysis and forecasting

Tidy Temporal Data Frames and Tools: as described in Wang, Cook & Hyndman (2020). Github CRAN Monthly downloads:
30158
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
9830
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
19823
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
21462
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
24648
Forecasting Binary Time Series. Github
Fast Additive Switching of Seasonality, Trend and Exogenous Regressors. Github
Supporting Graphs for Analysing Time Series: as described in Wang, Cook & Hyndman (2020). Github CRAN Monthly downloads:
696
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
278

Other time series analysis and forecasting

Breaks for Additive Season and Trend: as described in Verbesselt et al (2010a) and Verbesselt et al (2010b). Github CRAN Monthly downloads:
1096
CONDitional UI for Time Series normalisation. Github
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008). Github CRAN Monthly downloads:
270151
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
377
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
6946
Monash Electricity Forecasting Model: as described in Hyndman & Fan (2010). Github
Feature-Based Forecast Model Selection: as described in Talagala, Hyndman & Athanasopoulos (2018). Github CRAN Monthly downloads:
266
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
790
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
6328
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
24942

Time series data

Time series data from comp-engine.org. Github
Data sets from Hyndman, Koehler, Ord & Snyder (2008), Forecasting with exponential smoothing: the state space approach, Springer. Github CRAN Monthly downloads:
6996
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
7761
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. CRAN Monthly downloads:
2042
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
15293
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
17241
Data from the M-Competitions. Github CRAN Monthly downloads:
5547
Import and explore freely available Australian data sets. Github
Time series data from various forecasting competitions. Github
Time Series Data Library. Github

Anomaly detection

Leave One Out Kernel Density Estimates for Outlier Detection: as described in Kandanaarachchi and Hyndman (2021). Github CRAN Monthly downloads:
265
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
216
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
136
Outlier Detection in Data from Water-Quality Sensors: as described in Talagala, Hyndman, Leigh, Mengersen & Smith-Miles (2019). Github
Anomaly Detection in Temporal Networks: as described in Kandanaarachchi & Hyndman (2022). Github CRAN Monthly downloads:
181
Functions and data sets from Hyndman (2024) That’s weird: anomaly detection using R, OTexts. Github CRAN Monthly downloads:
134

Functional data and demography

Australian Demographic Data Bank. Github
Forecasting Mortality, Fertility, Migration and Population Data: as described in Hyndman, Booth & Yasmeen (2013) and Hyndman & Ullah (2007). Github CRAN Monthly downloads:
2720
Functional Data Sets. CRAN Monthly downloads:
11893
Functional Time Series Analysis. CRAN Monthly downloads:
2327
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
12781
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001). Github CRAN Monthly downloads:
185
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
138
Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data. Github CRAN Monthly downloads:
176

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
491
Consolidated tools and templates for staff at Monash University. Github
Article Formats for R Markdown. Github CRAN Monthly downloads:
6060
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1263

Other

Forecasting Functions for the Transport Accident Commission. Github
International Cricket Data. Github CRAN Monthly downloads:
367
Exploring Election and Census Highly Informative Data Nationally for Australia: as described in Forbes, Cook & Hyndman (2020). Github CRAN Monthly downloads:
89
Visualisation of Highest Density Regions in ‘ggplot2’: as described in Hyndman (1996). Github CRAN Monthly downloads:
27
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
11596
Australian Popular Baby Names. Github
Find details about R packages on CRAN or github. Github
Tools to assist with academic promotions. Github

Quarto extensions

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 Working Paper Template

Create a working paper for the Department of Econometrics & Business Statistics, Monash University.

quarto use template quarto-monash/workingpaper