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:
34432
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
11067
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
23056
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
25908
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
30440
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:
836
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
264

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:
1209
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:
324606
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
264
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
9595
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:
299
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
823
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
10140
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
55254

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:
9440
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
10662
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. CRAN Monthly downloads:
2771
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
16685
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
21649
Data from the M-Competitions. Github CRAN Monthly downloads:
5155
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:
334
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
247
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
193
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:
258
Functions and data sets from Hyndman (2024) That’s weird: anomaly detection using R, OTexts. Github CRAN Monthly downloads:
213

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:
3965
Functional Data Sets. CRAN Monthly downloads:
13280
Functional Time Series Analysis. CRAN Monthly downloads:
3924
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
16712
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001). Github CRAN Monthly downloads:
232
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
206
Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data. Github

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
424
Consolidated tools and templates for staff at Monash University. Github
Article Formats for R Markdown. Github CRAN Monthly downloads:
8010
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1648

Other

Forecasting Functions for the Transport Accident Commission. Github
International Cricket Data. Github CRAN Monthly downloads:
565
Exploring Election and Census Highly Informative Data Nationally for Australia: as described in Forbes, Cook & Hyndman (2020). Github CRAN Monthly downloads:
118
Visualisation of Highest Density Regions in ‘ggplot2’: as described in Hyndman (1996). Github CRAN Monthly downloads:
222
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
13539
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 University letterhead.

quarto use template numbats/monash-quarto-letter

Monash Memo Template

Create a memo with optional Monash University branding.

quarto use template numbats/monash-quarto-memo

Monash Working Paper Template

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

quarto use template numbats/monash-quarto-workingpaper

Monash Report Template

Create a Monash University report.

quarto use template numbats/monash-quarto-report

Monash Thesis Template

Create a Monash University thesis.

Either fork or download the repository to get started.