Rlgt is an R package for Bayesian Exponential Smoothing
☆23Apr 19, 2025Updated last year
Alternatives and similar repositories for Rlgt
Users that are interested in Rlgt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.☆13Nov 16, 2023Updated 2 years ago
- A terribly-simple data base for time series☆14Mar 25, 2026Updated 4 months ago
- Hierarchical continuous time state space modelling☆49Jul 9, 2026Updated 2 weeks ago
- General fable features useful for extension packages☆97Jul 17, 2026Updated last week
- R6 object-oriented interface for mathematical sets.☆14Sep 29, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Package for probabilistic forecast reconciliation via score optimisation☆13Apr 5, 2023Updated 3 years ago
- Extending broom for time series forecasting☆154Mar 17, 2026Updated 4 months ago
- Rcpp Interface to the APT Package Manager☆11Jan 8, 2026Updated 6 months ago
- Feature Extraction And Statistics for Time Series☆309Feb 9, 2026Updated 5 months ago
- Code and data to reproduce the transfer of a learned posterior on one time series as a new prior on a related time series to model yearly…☆15Jun 16, 2019Updated 7 years ago
- A package for measuring change between different versions of text☆20Jan 30, 2021Updated 5 years ago
- testR implementation in R☆11Aug 31, 2017Updated 8 years ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆29Jan 31, 2026Updated 5 months ago
- Cloud computing How-To☆10May 12, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Honest calibration assessment for binary outcome predictions☆11Aug 9, 2022Updated 3 years ago
- Multivariate models for forecasting purposes☆12Nov 21, 2025Updated 8 months ago
- Visualize incomplete and imputed data with the R package `ggmice`☆35Updated this week
- Documentation for the Stan language and CmdStan☆43Updated this week
- What the Package Does (One Line, Title Case)☆13May 16, 2018Updated 8 years ago
- R package - Dynamic Ensembles for Time Series Forecasting