Rob J Hyndman

forecast. Forecasting Functions for Time Series and Linear Models

tsfeatures. Time series features

ETC3550Slides. Slides for a forecasting course based on "Forecasting: Principles and Practice"

fpp3. All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

anomalous-acm. Anomalous time series package for R (ACM)

M4metalearning. R

fpp2. All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp2/>. All packages required to run the examples are also loaded.

CV. RJH Curriculum Vitae

anomalous. Anomalous time series package for R

cricketdata. International cricket data for men and women, Tests, ODIs and T20s

fpp3_slides. Slides to accompany Forecasting: Principles and Practice, 3rd edition

demography. demography package for R

MonashEBSTemplates. Rmarkdown templates for use at Monash University Department of Econometrics and Business Statistics

MonashThesis. Monash PhD thesis template

MEFM-package. R package to implement the MEFM

ctv-TimeSeries. git mirror of CRAN Task View Time Series files

thief. Temporal HIErarchical Forecasting

Half-day-forecasting-workshop. Forecasting workshop for ACEMS 2018

vital. Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data

quarto-password. R

ETC3580. Teaching materials for ETC3580

hdrcde. Highest density regions and conditional density estimation

quarto_website_template. Template of quarto website

robjhyndman.com. Quarto source files for robjhyndman.com

STR_paper. Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression

fma. Data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (1998)

ForecastingWorkshop. Slides for 3-day forecasting workshop

tscompdata. Time series competition data

expsmooth. Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).

uncertain_futures. Talk for ACEMS and SSA

complex_seasonality_talk. HTML