TaddyLab / gamlrLinks
Gamma lasso regression
☆23Updated 2 years ago
Alternatives and similar repositories for gamlr
Users that are interested in gamlr are comparing it to the libraries listed below
Sorting:
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 4 months ago
- ☆10Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆26Updated 2 years ago
- Bayesian Inference of Complex Panel Data☆35Updated 4 months ago
- Quick Generalized Full Matching in R☆11Updated last year
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- Comprehensive Cross-Validation Engine☆27Updated 3 years ago
- A set of RStudio add-ins for playing with distribution parameters and visualizing the resulting probability density and mass functions.☆20Updated 5 years ago
- Helper functions for orthogonal polynomials in R☆19Updated 3 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
- A sensitivity analysis package for causal effects☆12Updated last year
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Updated last month
- R package for fast rolling and expanding linear regression models☆22Updated 3 years ago
- High Dimensional Numerical and Symbolic Calculus in R☆48Updated 3 months ago
- Tools for Educators Writing Assignments in RMarkdown☆41Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 4 months ago
- Size-constrained Clustering in R☆32Updated last year
- Calculating Marginal Effects and Levels with Errors Using the Delta Method☆17Updated 4 years ago
- Combining drake workflows with R package development to train and execute a machine learning model☆14Updated 5 years ago
- Case studies in applied and computational statistics.☆39Updated 5 months ago
- Convolution-type Smoothed Quantile Regression☆23Updated 2 years ago
- Code for effectively dealing with running CmdStan... from R.... because reasons...☆13Updated 3 years ago
- Materials for the MOSAIC "Teaching Statistics with R and RStudio"☆23Updated 7 years ago
- R package for machine learning technique to fit flexible, interpretable functional forms for continuous and binary outcomes.☆22Updated 5 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 10 months ago
- An R package containing helper functions for Stan☆17Updated 3 years ago