Alternatives and similar repositories for nestedcv:

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

• stephenbates19 / nestedcv_experiments
  Numerical experiments for nested cross-validation paper
  ☆11Updated 2 years ago
• theodds / SoftBART
  ☆31Updated 2 months ago
• karlkumbier / iRF2.0
  ☆14Updated 3 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated last year
• mikemeredith / BEST
  Bayesian Estimation Supersedes t-Test
  ☆32Updated 3 years ago
• haozhestat / rfinterval
  An R package "rfinterval": Predictive Inference on Random Forests
  ☆13Updated 5 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• ercbk / nested-cross-validation-comparison
  Experimenting with various implementations and methods of nested cross-validation in R and Python
  ☆16Updated 4 months ago
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆16Updated last year
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• dsrobertson / onlineFDR
  Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …
  ☆14Updated last year
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆23Updated last month
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆20Updated 9 months ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆55Updated 2 months ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆20Updated 3 months ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆32Updated 5 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 4 months ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆82Updated 7 months ago
• bob-carpenter / diagnostic-testing
  statistical models to analyze diagnostic tests
  ☆15Updated 4 years ago
• MIDASverse / rMIDAS
  R package for missing-data imputation with deep learning
  ☆34Updated last year
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆42Updated 5 months ago
• MI2DataLab / XAI-tools
  ☆28Updated 3 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 4 years ago
• giuseppec / featureImportance
  An R package to assess feature importance
  ☆33Updated 3 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 7 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 3 years ago
• almost-matching-exactly / R-FLAME
  R Implementation of FLAME, DAME, and other algorithms in the AME framework
  ☆12Updated last year
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 3 months ago