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:
15309
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
4434
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
8076
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
7648
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
8536
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:
809
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
444

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:
1602
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008). Github CRAN Monthly downloads:
248664
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
434
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
16587
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:
566
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
612
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
13115
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
8703

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:
9642
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
9810
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. Github CRAN Monthly downloads:
3368
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
10714
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
4770
Data from the M-Competitions. Github CRAN Monthly downloads:
4486
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:
304
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
316
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
327
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:
1456
Functional Data Sets. CRAN Monthly downloads:
11520
Functional Time Series Analysis. CRAN Monthly downloads:
1717
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
11689
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001). Github CRAN Monthly downloads:
407
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
391

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
570
Monash EBS Rmarkdown Templates. Github
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1566

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:
472
Evolutionary model-based multiresponse approach. CRAN Monthly downloads:
401
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
11914
Australian Popular Baby Names. Github
Tools to assist with academic promotions. Github