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90 search results found
Forecast
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1,080
forecast package for R
Timetk
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594
Time series analysis in the `tidyverse`
Modeltime
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483
Modeltime unlocks time series forecast models and machine learning in one framework
Time Series Forecasting
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167
Sweep
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154
Extending broom for time series forecasting
Highfrequency
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109
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
Hts
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98
Hierarchical and Grouped Time Series
Smooth
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86
The set of functions used for time series analysis and in forecasting.
Forecasthybrid
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78
Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
Forecastml
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76
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
Seer
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74
๐ Feature-based Forecast Model Selection (FFORMS) ๐ ๐ ๐ ๐ฅ ๐ ๐ฆ ๐ ๐ง ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ก ๐ ๐ข ๐ ๐ฃ ๐ ๐ค
Modeltime.ensemble
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70
Time Series Ensemble Forecasting
Krigr
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67
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for MediumโRange Weather Forecasts (ECMWF).
Rwunderground
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66
A simple R package to get historical and forecast weather data
R Stockprediction
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59
Cv.ts
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51
Cross-validate time series forecasts
Scoringrules
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47
scoring rules to evaluate probabilistic forecasts
Thief
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44
Temporal HIErarchical Forecasting
Opera
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41
Online Prediction by ExpeRt Aggregation
Prophet_explore
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40
Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophe
Bvar
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39
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Scoringutils
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38
Utilities for Scoring and Assessing Predictions
Modeltime.h2o
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38
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
Modeltime.gluonts
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37
GluonTS Deep Learning with Modeltime
Automatedforecastingwithshiny
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35
Fully automated GDP forecasting with R/shiny
M4comp2018
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30
The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
Forecasting_with_r_practices
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27
Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.
Bvartools
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27
Functions for Bayesian inference of vector autoregressive and vector error correction models
Toy Us Election Simulator
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26
A very simple model for forecasting elections with polls and demographic data
Greybox
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25
Regression model building and forecasting in R
Nowcasting
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23
R package for Dynamic Factor Models with mixed frequencies and unbalanced panel ๐
Readrba
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23
RBA data, but tidy
Weeklyforecasting
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21
This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.
Rrricanes
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21
Web scraper for Atlantic and east Pacific hurricanes and tropical storms
Rlgt
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19
Rlgt is an R package for Bayesian Exponential Smoothing
Analogsensemble
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18
The C++ and R packages for parallel ensemble forecasts using Analog Ensemble
Forecastcomb
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18
Forecast Combination in R
Mafs
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17
Multiple Automatic Forecast Selection
Omicron Sgtf Forecast
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15
In this work, we use S-gene target failure (SGTF) as a proxy of variant status combined with reported case counts to explore the evidence for changes in transmission advantage over time for the Omicron variant. If present this could indicate the impact of immune escape, bias in SGTF data or differences in the populations within which the variants are circulating. We also report estimates for growth rates by variant and overall, case counts overall and by variant for a 14 day forecast window assu
Bmgarch
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14
Bayesian Multivariate GARCH
Simts
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14
โณ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
Covid 19 Ili Forecasting
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14
COVID-19 ILI forecasting for the U.S.
Isodistrreg
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13
Isotonic Distributional Regression (IDR)
Projections
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13
Projections of future incidence
Forecast Rs
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13
https://jgrillo.github.io/forecast-rs -- Rust client library for the Dark Sky API
Seriestemporales
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12
Compendio de conocimiento sobre series temporales, para la predicciรณn de series temporales con todos los mรฉtodos tratados en nuestro laboratorio DICITS.
Eventdetectr
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10
EventDetectR is an R-package for detecting/classifiying events in time-series data. It aims to combine multiple well-known R-packages like the forecast package to deliver an easily configurable tool for event detection.
Efistandards
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10
Exploring possible metadata and data formatting standards for comparing Ecological Forecasts
Tsfknn
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9
Time Series Forecasting Using KNN
538
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9
FiveThirtyEight 2020 Forecast Approximation
Trefyranio
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9
Bvars
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9
R package for Bayesian Vector Autoregression
Fformpp
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9
FFORMPP: Feature-based FORecast Model Performance Prediction
Esback
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9
Expected Shortfall Backtesting
2019 Statistical Risk Assessment
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9
Statistical Risk Assessment for 2019 and 2020
Nhanes R Programming
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9
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Echos
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9
Echo State Networks for Time Series Forecasting
Rbatchscoring
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8
Batch Scoring with R Models
Cptec
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8
An R interface to the CPTEC/INPE API
Check_graphite.r
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8
holt-winters forecast nagios check based on graphite
Cortana Intelligence Shipping And Distribution Forecasting
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8
Cortana Intelligence Solution for Shipping and Distribution Forecasting
Rfunction
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8
Global Lmic Reports Orderly
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8
COVID-19 forecast reports for LMICs
Probreco
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8
Package for probabilistic forecast reconciliation via score optimisation
Econforecasting R
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8
This is the data scraping & modeling code used for models shown in https://econforecasting.com.
Waterd
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8
Water demand forecast Shiny dashboard.
Tsfgrnn
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7
Time Series Forecasting Using Generalized Regression Neural Networks
Election4castuk
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7
Source code for www.electionforecast.co.uk, a site forecasting the 2015 British General Election
App Forecast
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7
Time series forecasting for common inflators and economic indices using the forecast package in R.
Work_ensemble_forecast_methods
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7
Democratic Spaces
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7
Code and data for the Democratic Spaces forecasts and dashboard
Rafa
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7
R Automatic Forecasting Algorithm
2018 Statistical Risk Assessment
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7
Statistical risk assessment for 2018 (and 2017)
Harpio
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6
IO functions for HARP
Predx
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6
A toolkit for predictions
Ropenweathermap
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6
R package to get weather data using OpenWeatherMap API
Validate Forecast Methods
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6
Time Series Pib
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6
Brazilian PIB (GDP) time series analysis.
Fforma
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6
R package for Feature-based Forecast Model Averaging
Tscv
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6
Time Series Cross-Validation
Connect Forecasting Demo
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6
Time Series Forecasting With Shiny
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5
Shiny-based interactive time series forecasting
Presidential Forecasts 2016
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5
Function to scrape, format, and plot forecaster data for the 2016 U.S. Presidential Election
Covid 19_sars Cov 2_corona
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5
An analysis of Covid-19 case time series around the world with projections and forecasts how case numbers might grow in the week ahead
Greyforecasting
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5
greyforecasting,a brief grey forecasting tool in R
Gefs_downloader_simple
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5
A simple GEFS grib2 ensemble downloader.
Bagged.cluster.ets
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5
Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time series forecasts
Eventdetectgui
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5
EventDetectR is an R-package for detecting/classifiying events in time-series data. It aims to combine multiple well-known R-packages like the forecast package to deliver an easily configurable tool for event detection. The EventDetectGUI package is a graphical user interface, created to make the access and use of the EventDetectR package even easier.
Timeseriesanalysis
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5
To predict sales using 4 years time series data of a retail store.
Yrno
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5
Cmafworkshop_business Forecasting Using R
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5
Presentation slides and practical examples of business forecasting using R maintained by the Centre for Marketing Analytics and Forecasting at Lancaster University
Canada 2019
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5
The 2019 Canadian elections forecast!
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