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:
16585
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
4320
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
10020
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
9852
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
11711
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:
997
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
522

Other time series analysis and forecasting

Breaks For Additive Season and Trend (BFAST): as described in Verbesselt et al (2010a) and Verbesselt et al (2010b). Github CRAN Monthly downloads:
1191
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008). Github CRAN Monthly downloads:
314611
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
469
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
13699
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:
449
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
776
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
7998
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
17878

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:
12265
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
12620
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. Github CRAN Monthly downloads:
4079
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
13292
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
4763
Data from the M-Competitions. Github CRAN Monthly downloads:
3032
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:
266
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
472
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
371
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 & Ullah (2007) and Hyndman, Booth & Yasmeen (2013). Github CRAN Monthly downloads:
2013
Functional Data Sets. CRAN Monthly downloads:
21925
Functional Time Series Analysis. CRAN Monthly downloads:
2487
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
21903
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
499

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
700
Monash EBS Rmarkdown Templates. Github
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1590

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:
600
Evolutionary model-based multiresponse approach. CRAN Monthly downloads:
555
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
24593
Australian Popular Baby Names. Github
Tools to assist with academic promotions. Github