MateusMaiaDS / gpbart

Related projects ⓘ

Alternatives and complementary repositories for gpbart

• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆20Updated 5 months ago
• bob-carpenter / diagnostic-testing
  statistical models to analyze diagnostic tests
  ☆15Updated 3 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 2 months ago
• theodds / SoftBART
  ☆31Updated 2 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 3 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated 3 months ago
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆15Updated 2 years ago
• jirotubuyaki / ThunderBayesR
  An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
  ☆16Updated 2 years ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆8Updated 3 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 2 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 2 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan and pytorch.
  ☆15Updated 4 months ago
• almost-matching-exactly / R-FLAME
  R Implementation of FLAME, DAME, and other algorithms in the AME framework
  ☆12Updated last year
• tedwestling / ctsCausal
  ☆10Updated last year
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆40Updated 2 months ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆12Updated 3 years ago
• jpiironen / gplite
  Gaussian process modeling in R
  ☆16Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆26Updated last year
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆27Updated 3 weeks ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆16Updated last month
• rsparapa / bnptools
  R packages for Bayesian Nonparametrics
  ☆12Updated last month
• alexluedtke12 / pydimple
  ☆12Updated 5 months ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆15Updated 3 weeks ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆17Updated last month
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆35Updated 2 weeks ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆16Updated 6 months ago
• mike-lawrence / ezStan
  An R package containing helper functions for Stan
  ☆16Updated 2 years ago
• jpiironen / dimreduce
  ☆8Updated 3 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 3 weeks ago