Alternatives and similar repositories for hierarchical-stacking-code

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

• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆22Updated last week
• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆17Updated 2 months ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• vincentarelbundock / pymarginaleffects
  ☆86Updated last week
• avehtari / ActiveStatistics
  Active Statistics book web page
  ☆12Updated 10 months ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated last month
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated 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 last year
• 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
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated last month
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆18Updated 4 years ago
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 5 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 4 years ago
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆69Updated 5 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• MaggieLieu / STAN_tutorials
  ☆31Updated 5 years ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆37Updated this week
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆49Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• jbrowell / ProbCast
  ProbCast: an R Package for Flexible Probabilistic Forecasting
  ☆33Updated last year
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆60Updated this week
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆53Updated 2 months ago
• anastasiospanagiotelis / ProbReco
  Package for probabilistic forecast reconciliation via score optimisation
  ☆13Updated 2 years ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆54Updated this week