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Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
R Package 📦 Containing the Datasaurus Dozen datasets 📊
Record and expose Shiny app logic using metaprogramming
Slides for a forecasting course based on "Forecasting: Principles and Practice"
The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.
Copy Functions from Other Packages Without Adding Them As Dependencies
Materials for the "Generalised Additive Models in R" workshop for Forecasting for Social Good.
missCompare R package - intuitive missing data imputation framework
R package for fast rolling and expanding linear regression models
Granger causality testing in High Dimensional Vector Autoregressive Models
R package to estimate time-varying coefficient regressions
R package for combining the visual impact of an attention-grabbing meme with graphic results of data analysis.
Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
ggplot2 extension for seasonal and trading day adjustment with RJDemetra
Code for Chinn, M. D., Meunier, B., Stumpner, S. (2023). "Nowcasting World Trade with Machine Learning: a Three-Step Approach", NBER Working Paper, No 31419, National Bureau of Economic Research
Create datasets with identical summary statistics