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:
28791
Diverse Datasets for ‘tsibble’. Github CRAN Monthly downloads:
6000
Feature Extraction and Statistics for Time Series. Github CRAN Monthly downloads:
11885
Forecasting Models for Tidy Time Series. Github CRAN Monthly downloads:
12743
Core Tools for Packages in the ‘fable’ Framework. Github CRAN Monthly downloads:
14165
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:
969
Explore Probability Distributions for Bivariate Temporal Granularities: as described in Gupta, Hyndman, Cook & Unwin (2020). Github CRAN Monthly downloads:
324

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:
1529
Forecasting Functions for Time Series and Linear Models: as described in Hyndman & Khandakar (2008). Github CRAN Monthly downloads:
340415
Generating Time Series with Diverse and Controllable Characteristics: as described in Kang, Hyndman & Li (2020). Github CRAN Monthly downloads:
400
Hierarchical and Grouped Time Series: as described in Hyndman, Ahmed, Athanasopoulos & Shang (2011) and Wickramasuriya, Athanasopoulos & Hyndman (2019). Github CRAN Monthly downloads:
13409
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:
419
STR Decomposition: as described in Dokumentov & Hyndman (2020). CRAN Monthly downloads:
748
Temporal Hierarchical Forecasting: as described in Athanasopoulos et al (2017). Github CRAN Monthly downloads:
15441
Time Series Feature Extraction: as described in Hyndman, Wang & Laptev (2015) and Kang, Hyndman & Smith-Miles (2017). Github CRAN Monthly downloads:
53061

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:
13005
Data sets from Makridakis, Wheelwright & Hyndman (1998), Forecasting: methods and applications, Wiley. Github CRAN Monthly downloads:
13475
Data sets from Hyndman & Athanasopoulos (2014) Forecasting: principles and practice, OTexts. CRAN Monthly downloads:
4163
Data sets from Hyndman & Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts. Github CRAN Monthly downloads:
15896
Data sets from Hyndman & Athanasopoulos (2021) Forecasting: principles and practice, 3rd edition, OTexts. Github CRAN Monthly downloads:
7453
Data from the M-Competitions. Github CRAN Monthly downloads:
15325
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:
223
Anomaly Detection in High Dimensional and Temporal Data: as described in Talagala, Hyndman & Smith-Miles (2021). Github CRAN Monthly downloads:
246
Outlier Detection in Data Streams: as described in Talagala, Hyndman, Smith-Miles, Kandanaarachichi & Muñoz (2020). Github CRAN Monthly downloads:
259
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:
2834
Functional Data Sets. CRAN Monthly downloads:
14062
Functional Time Series Analysis. CRAN Monthly downloads:
2236
Bagplots, Boxplots and Rainbow Plots for Functional Data: as described in Hyndman & Shang (2010). CRAN Monthly downloads:
14468
Seasonal Functional Autoregressive Models: as described in Zamani, Haghbin, Hashemi & Hyndman (2001). Github CRAN Monthly downloads:
304
Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects: as described in Dokumentov, Hyndman & Tickle (2018). CRAN Monthly downloads:
297

Rmarkdown

‘binb’ is not ‘Beamer’. Github CRAN Monthly downloads:
489
Consolidated tools and templates for staff at Monash University. Github
Article Formats for R Markdown. Github CRAN Monthly downloads:
9704
Curriculum Vitae for R Markdown. Github CRAN Monthly downloads:
1562

Other

International Cricket Data. Github CRAN Monthly downloads:
329
Exploring Election and Census Highly Informative Data Nationally for Australia: as described in Forbes, Cook & Hyndman (2020). Github CRAN Monthly downloads:
414
Evolutionary model-based multiresponse approach. CRAN Monthly downloads:
125
Visualisation of Highest Density Regions in ‘ggplot2’: as described in Hyndman (1996). Github CRAN Monthly downloads:
284
Highest Density Regions and Conditional Density Estimation: as described in Hyndman (1996) and Hyndman, Bashtannyk & Grunwald (1996). Github CRAN Monthly downloads:
14066
Australian Popular Baby Names. Github
Find details about my R packages. Github
Tools to assist with academic promotions. Github