Alternatives and similar repositories for timedisagg

Users that are interested in timedisagg are comparing it to the libraries listed below

• dhopp1 / nowcast_lstm
  LSTM neural networks for nowcasting economic data.
  ☆71Updated last year
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆26Updated 4 years ago
• cynkra / tempdisagg
  Methods for Temporal Disaggregation and Interpolation of Time Series
  ☆42Updated 3 months ago
• pysal / spreg
  Spatial econometric regression in Python
  ☆85Updated last month
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆25Updated last year
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated last month
• OTexts / weird
  That's weird: Anomaly detection using R
  ☆43Updated 2 weeks ago
• ctanujit / FEWNet
  ☆17Updated 11 months ago
• trnnick / tsintermittent
  ☆13Updated 3 years ago
• jbrowell / ProbCast
  ProbCast: an R Package for Flexible Probabilistic Forecasting
  ☆34Updated last year
• taf-society / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆30Updated last week
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 11 months ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆22Updated last year
• trnnick / tsutils
  The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
  ☆13Updated 2 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 3 weeks ago
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 4 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆79Updated last year
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated 4 months ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆44Updated last week
• eurostat / econowcast
  Experimental tools (R) for Big Data econometrics nowcasting and early estimates
  ☆31Updated 5 years ago
• RamiKrispin / USgrid
  The hourly demand and supply of electricity in the US
  ☆26Updated 4 years ago
• duncanplee / CARBayesST
  Spatio-Temporal Generalised Linear Mixed Models For Areal Unit Data
  ☆13Updated 3 years ago
• edrubin / EC421S20
  Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin
  ☆14Updated 4 years ago
• atrisovic / weather-panel.github.io
  A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.
  ☆42Updated 10 months ago
• benjaminbluhm / econometrics_at_scale
  ☆15Updated 4 years ago
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆68Updated 2 months ago
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• atsa-es / atsa-labs
  Labs developed for Applied Fisheries Time-series Analysis course. The link for the text is https://atsa-es.github.io/atsa-labs/
  ☆22Updated 4 years ago
• ropensci / eia
  An R package wrapping the US Energy Information Administration open data API.
  ☆50Updated 7 months ago
• USEPA / stateior
  Prepares US state two-region Make and Use tables
  ☆13Updated 9 months ago