Alternatives and similar repositories for ts2net

Users that are interested in ts2net are comparing it to the libraries listed below

• hendersontrent / theft
  R package for Tools for Handling Extraction of Features from Time series (theft)
  ☆41Updated last week
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 7 months ago
• ahaeusser / echos
  Echo State Networks for Time Series Forecasting
  ☆16Updated last month
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆52Updated last week
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆79Updated last year
• hendersontrent / Rcatch22
  R package for calculation of 22 CAnonical Time-series CHaracteristics
  ☆22Updated 10 months ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 2 years ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆30Updated 3 months ago
• COVID-19-Mobility-Data-Network / mobility
  An R package containing functions for parsing mobility data, fitting models using Bayesian inference, and simulating mobility patterns.
  ☆26Updated 3 years ago
• statnet / ndtv
  ndtv: Network Dynamic Temporal Visualizations in R
  ☆52Updated last year
• mfasiolo / qgam
  Additive quantile regression R package
  ☆34Updated 3 months ago
• oliviergimenez / banana-book
  Repo for a book on Bayesian capture-recapture w/ HMMs
  ☆17Updated last month
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆88Updated last year
• nk027 / bsreg
  Fit Bayesian models with a focus on spillover effects. Implements linear specifications (with or without shrinkage), allows for spatial l…
  ☆12Updated last year
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 4 years ago
• mkln / meshed
  Meshed GP for Bayesian spatial big data regression
  ☆13Updated last week
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆26Updated 8 months ago
• ConnorDonegan / geostan
  Bayesian spatial analysis
  ☆80Updated 3 weeks ago
• JeremyGelb / spNetwork
  An R package to perform spatial analysis on networks.
  ☆37Updated 4 months ago
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆75Updated 2 years ago
• paezha / Reproducible-Research-Workflow
  Notes and resources for graduate course GEOG 712 Reproducible Research Workflow with GitHub and R offered by the School of Earth, Environ…
  ☆28Updated 8 months ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• cynkra / tempdisagg
  Methods for Temporal Disaggregation and Interpolation of Time Series
  ☆41Updated last month
• ArdiaD / DEoptim
  Differential evolution in R
  ☆29Updated 2 years ago
• m-clark / generalized-additive-models
  A document introducing generalized additive models.📈
  ☆79Updated last year
• egpivo / SpatPCA
  R Package: Regularized Principal Component Analysis for Spatial Data
  ☆20Updated 11 months ago
• vcerqueira / tsensembler
  R package - Dynamic Ensembles for Time Series Forecasting
  ☆32Updated 4 years ago
• Techtonique / ahead
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆23Updated this week
• esmucler / odpc
  This package provides functions for computing One-Sided Dynamic Principal Components, a novel multivariate time series dimension reductio…
  ☆9Updated last year