Stars
Modeltime unlocks time series forecast models and machine learning in one framework
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
This repository implements the Integrated R-squared Dependence (IRDC) coefficient and Feature Ordering by Integrated R-squared Dependence (FORD), which are used for variable selection.
Explain Statistical Output with Large Language Models
Auto-Encoding Variational Multivariate Small Area Estimation
Orbweaver is an R package that optimizes the processing of graph data structures.
A poor man's dependency free grammar of data manipulation
Transform code from using implicit function calls to explicit using the double-colon operator.
A project that demonstrates how to build and deploy fully functional Gradio applications in the R programming language.
Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
Lightweight Repackaging of 'Themes' for 'ggplot2'
An R package for downloading datasets from Kaggle into the R Console
Function-oriented Make-like declarative workflows for R
tldr; If you have a 2-4GB dataset and you need to estimate a (generalized) linear model with a large number of fixed effects, this package is for you.
The idea is to pass matrices/vectors from R to C++, write pure C++/Armadillo code for the computation, and then export the result back to R with the proper data structures.
An R package to compute the potential model as defined by Stewart (1941).
A R package for Bootstrap Components to make Landing Home Pages for Shiny 🌐