Alternatives and similar repositories for ck37r:

Users that are interested in ck37r are comparing it to the libraries listed below

• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆39Updated 5 months ago
• dlab-berkeley / Unsupervised-Learning-in-R
  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
  ☆47Updated 4 years ago
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 3 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 2 years ago
• sambrilleman / simsurv
  Simulate Survival Data
  ☆23Updated 4 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆20Updated last year
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 3 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆19Updated 2 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• malcolmbarrett / causal_inference_notebook
  R Code for Causal Inference by Hernán and Robins
  ☆22Updated 3 years ago
• MI2DataLab / survxai
  Explanations for survival models
  ☆15Updated 2 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆19Updated last week
• tlverse / hal9001
  🤠 📿 The Highly Adaptive Lasso
  ☆50Updated 5 months ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆23Updated 2 years ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• mjskay / tidybayes.rethinking
  R package to allow tidybayes to work with the rethinking package
  ☆26Updated last year
• mike-lawrence / bayes_days
  R & Stan code associated with my "Bayes Days" workshop
  ☆14Updated 9 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 5 months ago
• thuizhou / PSweight
  ☆24Updated last year
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆30Updated 2 months ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 6 months ago
• jessecambon / Data-Science-Sandbox
  Code and resources to serve as a starting point for data science projects.
  ☆21Updated 3 years ago
• tlverse / origami
  Comprehensive Cross-Validation Engine
  ☆27Updated 2 years ago
• ModelOriented / EIX
  Structure mining for xgboost model
  ☆26Updated 4 years ago
• Tirgit / missCompare
  missCompare R package - intuitive missing data imputation framework
  ☆39Updated 4 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆58Updated last year
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆25Updated 5 months ago