ck37 / ck37rLinks
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
☆19Updated 6 months ago
Alternatives and similar repositories for ck37r
Users that are interested in ck37r are comparing it to the libraries listed below
Sorting:
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Updated 5 years ago
- Targeted Learning for Survival Analysis☆23Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 7 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- Model Agnostics breakDown plots☆104Updated last year
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆106Updated 7 months ago
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆80Updated 3 weeks ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆24Updated 4 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆51Updated 3 weeks ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆33Updated last year
- Automated Feature Selection☆65Updated 7 years ago
- Fast approximate Shapley values in R☆128Updated 8 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Updated 2 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 5 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- missCompare R package - intuitive missing data imputation framework☆39Updated 5 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Updated 3 years ago
- Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…☆28Updated 5 years ago
- Code and resources to serve as a starting point for data science projects.☆22Updated 4 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆19Updated 5 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆33Updated last month
- miceRanger: Fast Imputation with Random Forests in R☆70Updated 3 years ago
- Causal Inference using Bayesian Additive Regression Trees☆85Updated 6 months ago