Bringing financial analysis to the tidyverse
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Updated
Jun 1, 2024 - R
Bringing financial analysis to the tidyverse
Time series analysis in the `tidyverse`
Modeltime unlocks time series forecast models and machine learning in one framework
Tools for time series analysis and forecasting
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Extending broom for time series forecasting
Tools for reading SDMX data and metadata in R
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Time Series Ensemble Forecasting
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
Plot microbiome time series in parallel
Convert dates to arbitrary week definitions 📆
RShiny app to upload and analyze trend and seasonality of transit ridership data
NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom
códigos e arquivos do livro Análise de Séries Temporais em R: um curso introdutório.
R code and Realized Volatility (RV) series set for fitting NN-based-HAR models to multinational RV series.
Fast cluster-based permutation test for densely-sampled, multi-level time series data
A native R client library, firing PromQL queries at the Prometheus time-series database.
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