benvancalster / classimb_calibrationLinks
☆8Updated 3 years ago
Alternatives and similar repositories for classimb_calibration
Users that are interested in classimb_calibration are comparing it to the libraries listed below
Sorting:
- R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.☆19Updated 3 weeks ago
- ☆25Updated last year
- Scroll down this page for installation instructions, or see this poster:☆24Updated last month
- R interface to CTGAN☆25Updated 2 years ago
- Windowed Summarization for Autoregressive Data☆24Updated 4 years ago
- Material for the lecture Statistical Computing☆11Updated last month
- ☆17Updated last year
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Updated 5 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 5 years ago
- R code to encode categorical features for machine learning☆15Updated 3 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago
- R package for weighted model metrics☆11Updated 2 months ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Replication files for my book "Modern Dimension Reduction"☆17Updated 3 years ago
- Honest calibration assessment for binary outcome predictions☆11Updated 2 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- ☆77Updated 4 years ago
- R package for carrying out sensitivity analysis☆18Updated last week
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated this week
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆19Updated 4 months ago
- Foundation Model for Tabular Data via reticulate☆11Updated 3 months ago
- ☆14Updated 3 months ago
- ☆20Updated 6 years ago
- Automated machine learning in mlr3☆27Updated 3 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- Examples of statistical simulations☆15Updated 4 years ago
- Machine learning explanations☆23Updated 2 months ago
- Analysis of simulation studies including Monte Carlo error☆30Updated last year
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago