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:
19184
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
5398
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
10468
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
10179
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
12197
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:
943
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
487

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:
1486
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008). Github CRAN Monthly downloads:
304623
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
463
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
14350
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:
459
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
779
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
8622
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
13206

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:
12834
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
13133
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. Github CRAN Monthly downloads:
4881
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
14306
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
5664
Data from the M-Competitions. Github CRAN Monthly downloads:
3177
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:
384
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
490
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
379
Outlier Detection in Data from Water-Quality Sensors: as described in Talagala, Hyndman, Leigh, Mengersen & Smith-Miles (2019). Github

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:
2124
Functional Data Sets. CRAN Monthly downloads:
23237
Functional Time Series Analysis. CRAN Monthly downloads:
2306
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
23285
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001). Github CRAN Monthly downloads:
121
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
471

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
660
Monash EBS Rmarkdown Templates. Github
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1547

Other

International Cricket Data. Github
Exploring Election and Census Highly Informative Data Nationally for Australia: as described in Forbes, Cook & Hyndman (2020). Github CRAN Monthly downloads:
630
Evolutionary model-based multiresponse approach. CRAN Monthly downloads:
502
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
24215
Australian Popular Baby Names. Github
Tools to assist with academic promotions. Github