tsrobinson / cjbartLinks
Heterogeneous effects analysis of conjoint experiments using BART
☆10Updated 2 years ago
Alternatives and similar repositories for cjbart
Users that are interested in cjbart are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 years ago
- How to use EconML within R☆12Updated 6 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated last month
- Statistical Inference for Random Forests☆19Updated 6 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 5 months ago
- missCompare R package - intuitive missing data imputation framework☆39Updated 5 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Updated 2 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆34Updated 11 months ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 6 years ago
- ☆28Updated last year
- Machine learning explanations☆24Updated 3 months ago
- Friedman's H-statistics☆33Updated last month
- Automated machine learning in mlr3☆27Updated 3 years ago
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Updated 5 years ago
- A sensitivity analysis package for causal effects☆12Updated last year
- 📊 R package for computing and visualizing fair ML metrics☆32Updated last month
- R package cfcausal☆33Updated 3 years ago
- An R package "rfinterval": Predictive Inference on Random Forests☆13Updated 6 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆61Updated 3 months ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- Evaluation of Methods for dealing with Missing data in Machine Learning algorithms☆23Updated 5 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Bayesian Inference of Complex Panel Data☆35Updated last week
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- R package implementing MCMC estimation of the two-parameter IRT model on GPUs☆14Updated 6 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 3 years ago
- MELTT: Matching Event Data by Location, Time, and Type☆25Updated last year
- Machine Learning algorithms coded from scratch☆22Updated 5 years ago