ryantibs / best-subsetLinks
Comparisons between best subset selection and other popular sparse regression estimators
☆89Updated 2 years ago
Alternatives and similar repositories for best-subset
Users that are interested in best-subset are comparing it to the libraries listed below
Sorting:
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago
- Generalized lasso implementations☆46Updated last year
- ☆33Updated 3 months ago
- Efficient Algorithms for L0 Regularized Learning☆103Updated 2 years ago
- Tools for conformal inference in regression☆251Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆64Updated this week
- ☆96Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Updated 5 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 4 years ago
- Path algorithm for generalized lasso problems☆33Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 9 years ago
- ☆93Updated last year
- Inference case studies in knitr☆171Updated 3 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated 2 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆61Updated 3 months ago
- R package cfcausal☆33Updated 3 years ago
- Bayesian Causal Forests☆52Updated last year
- ☆22Updated last year
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- repo for "Optimal Inference After Model Selection"☆15Updated 8 years ago
- A complete environment for Bayesian inference within R☆96Updated last year
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Tools for The Book of Statistical Proofs☆95Updated last week
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated 2 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Updated last year
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 5 months ago
- ☆34Updated 3 years ago