Examples were calculated in R version 4.5.3 (2026-03-11) with an effort to use the most recent versions of R packages.
Allaire J, Xie Y, Dervieux C, et al (2026) Rmarkdown: Dynamic documents for r. R package version 2.31,
https://github.com/rstudio/rmarkdown
Borchers HW (2025) Pracma: Practical numerical math functions. R package version 2.4.6,
https://CRAN.R-project.org/package=pracma
Bunn A, Korpela M, Biondi F, et al (2025) dplR: Dendrochronology program library in r. R package version 1.7.8,
https://github.com/OpenDendro/dplR
Caeiro F, Mateus A (2024) Randtests: Testing randomness in r. R package version 1.0.2,
https://CRAN.R-project.org/package=randtests
Croissant Y, Graves S (2025) Ecdat: Data sets for econometrics. R package version 0.4.7,
https://www.r-project.org
Fasiolo M, Nedellec R (2025) mgcViz: Visualisations for generalized additive models. R package version 0.2.1,
https://github.com/mfasiolo/mgcViz
Gastwirth JL, Gel YR, Hui WLW, et al (2023) Lawstat: Tools for biostatistics, public policy, and law. R package version 3.6,
https://CRAN.R-project.org/package=lawstat
Graves S (2024) FinTS: Companion to tsay (2005) analysis of financial time series. R package version 0.4-9,
https://geobosh.github.io/FinTSDoc/
Hothorn T, Zeileis A, Farebrother RW, Cummins C (2022) Lmtest: Testing linear regression models. R package version 0.9-40,
https://CRAN.R-project.org/package=lmtest
Hyndman R (2023) Fma: Data sets from "forecasting: Methods and applications" by makridakis, wheelwright & hyndman (1998). R package version 2.5,
https://pkg.robjhyndman.com/fma/
Hyndman R, Athanasopoulos G, Bergmeir C, et al (2026) Forecast: Forecasting functions for time series and linear models. R package version 9.0.2,
https://pkg.robjhyndman.com/forecast/
Kassambara A (2026) Ggpubr: ggplot2 based publication ready plots. R package version 0.6.3,
https://rpkgs.datanovia.com/ggpubr/
Kelley D, Richards C (2024) Oce: Analysis of oceanographic data. R package version 1.8-3,
https://dankelley.github.io/oce/
Krispin R (2023) TSstudio: Functions for time series analysis and forecasting. R package version 0.1.7,
https://github.com/RamiKrispin/TSstudio
Ligges U, Short T, Kienzle P (2024) Signal: Signal processing. R package version 1.8-1,
https://signal.R-forge.R-project.org
Lyubchich V, Gel YR, Vishwakarma S (2025) Funtimes: Functions for time series analysis. R package version 10.0,
https://CRAN.R-project.org/package=funtimes
McLeod AI (2025) Kendall: Kendall rank correlation and mann-kendall trend test. R package version 2.2.2,
http://www.stats.uwo.ca/faculty/aim
O’Hara-Wild M, Hyndman R, Wang E (2026a) Fable: Forecasting models for tidy time series. R package version 0.5.0,
https://fable.tidyverts.org
O’Hara-Wild M, Hyndman R, Wang E (2026b) Feasts: Feature extraction and statistics for time series. R package version 0.5.0,
http://feasts.tidyverts.org/
Pedersen TL (2025) Patchwork: The composer of plots. R package version 1.3.2,
https://patchwork.data-imaginist.com
Pfaff B (2024) Urca: Unit root and cointegration tests for time series data. R package version 1.3-4,
https://CRAN.R-project.org/package=urca
Pinheiro J, Bates D, R Core Team (2025) Nlme: Linear and nonlinear mixed effects models. R package version 3.1-168,
https://svn.r-project.org/R-packages/trunk/nlme/
Ruf T (2024) Lomb: Lomb-scargle periodogram. R package version 2.5.0,
https://CRAN.R-project.org/package=lomb
Schloerke B, Cook D, Larmarange J, et al (2025) GGally: Extension to ggplot2. R package version 2.4.0,
https://ggobi.github.io/ggally/
Sievert C, Parmer C, Hocking T, et al (2026) Plotly: Create interactive web graphics via plotly.js. R package version 4.12.0,
https://plotly-r.com
Stasinopoulos M, Rigby R (2025) Gamlss: Generalized additive models for location scale and shape. R package version 5.5-0,
https://www.gamlss.com/
Stoffer D (2026) Astsa: Applied statistical time series analysis. R package version 2.5,
https://dsstoffer.github.io/
Trapletti A, Hornik K (2026) Tseries: Time series analysis and computational finance. R package version 0.10-61,
https://CRAN.R-project.org/package=tseries
Wickham H (2025) Downlit: Syntax highlighting and automatic linking. R package version 0.4.5,
https://downlit.r-lib.org/
Wickham H, Chang W, Henry L, et al (2026a) ggplot2: Create elegant data visualisations using the grammar of graphics. R package version 4.0.3,
https://ggplot2.tidyverse.org
Wickham H, François R, Henry L, et al (2026b) Dplyr: A grammar of data manipulation. R package version 1.2.1,
https://dplyr.tidyverse.org
Wickham H, Hester J, Bryan J (2026c) Readr: Read rectangular text data. R package version 2.2.0,
https://readr.tidyverse.org
Wickham H, Hester J, Ooms J (2026d) xml2: Parse XML. R package version 1.5.2,
https://xml2.r-lib.org
Wood S (2025) Mgcv: Mixed GAM computation vehicle with automatic smoothness estimation. R package version 1.9-4,
https://CRAN.R-project.org/package=mgcv
Wuertz D, Chalabi Y, Setz T, et al (2025) fGarch: Rmetrics - autoregressive conditional heteroskedastic modelling. R package version 4052.93,
https://geobosh.github.io/fGarchDoc/
Xie Y (2025) Knitr: A general-purpose package for dynamic report generation in r. R package version 1.51,
https://yihui.org/knitr/
Zeileis A (2019) Dynlm: Dynamic linear regression. R package version 0.3-6,
https://CRAN.R-project.org/package=dynlm