Alternatives and similar repositories for hierarchical-stacking-code

Users that are interested in hierarchical-stacking-code are comparing it to the libraries listed below

• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆17Updated last month
• avehtari / ActiveStatistics
  Active Statistics book web page
  ☆12Updated 9 months ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated last month
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated last month
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 4 months ago
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆22Updated last week
• avehtari / casestudies
  ☆30Updated last year
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated 11 months ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆37Updated last week
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆19Updated 4 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆27Updated 11 months ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆11Updated 4 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆58Updated this week
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆69Updated 4 months ago
• epiforecasts / scoringutils
  Utilities for Scoring and Assessing Predictions
  ☆56Updated last month
• XiaoouPan / conquer
  Convolution-type Smoothed Quantile Regression
  ☆23Updated 2 years ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 4 years ago
• henckr / distRforest
  R implementation for random forests with distribution-based loss functions
  ☆25Updated 5 years ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆31Updated last week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated last week
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated 2 weeks ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 3 weeks ago
• FMenchetti / CausalMBSTS
  ☆16Updated 4 years ago