wwrechard / screeningLinks
An R package for efficient variable screening method
☆13Updated 9 years ago
Alternatives and similar repositories for screening
Users that are interested in screening are comparing it to the libraries listed below
Sorting:
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 3 years ago
- Targeted Learning for Survival Analysis☆21Updated last year
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Updated this week
- Automated machine learning in mlr3☆26Updated 3 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- R packages for Bayesian Nonparametrics☆16Updated last month
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 4 months ago
- R package for weighted model metrics☆11Updated last month
- Time Series Forecasting Using KNN☆11Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 3 months ago
- Visualise the Results of Inferential Statistics using 'ggplot2'☆13Updated last year
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- ☆9Updated 8 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated this week
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 6 months ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Updated 10 months ago
- How to use EconML within R☆12Updated 5 years ago
- Tidy methods for Bayesian treatment effect models☆16Updated 4 months ago
- ☆10Updated 2 years ago
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- R package for fitting joint models to time-to-event and longitudinal data☆18Updated 5 months ago
- Sparse and Regularized Discriminant Analysis in R☆14Updated 4 years ago
- Super learner fitting and prediction using mlr3☆10Updated 3 months ago
- Longitudinal Mediation with Modified Treatment Policies☆12Updated 2 weeks ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year