Alternatives and similar repositories for best-subset

Users that are interested in best-subset are comparing it to the libraries listed below

• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• theodds / SoftBART
  ☆31Updated 2 months ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆246Updated 10 months ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 9 months ago
• ehkennedy / npcausal
  ☆95Updated last year
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆101Updated last year
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆66Updated 4 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 10 months ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆93Updated last year
• alexluedtke12 / pydimple
  ☆20Updated last year
• rizbicki / FlexCoDE
  ☆33Updated 3 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆12Updated 8 years ago
• JingyuHe / XBART
  ☆92Updated 7 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated 3 months ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆47Updated 4 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆21Updated 4 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago