Alternatives and similar repositories for BooST

Users that are interested in BooST are comparing it to the libraries listed below

• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated this week
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated last month
• ceweiss / ForecastComb
  Forecast Combination in R
  ☆29Updated 7 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• christophsax / seasonalview
  Graphical User Interface for Seasonal Adjustment
  ☆23Updated last year
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated 2 years ago
• schalkdaniel / compboost
  C++ implementation and R API for componentwise boosting
  ☆23Updated 2 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆30Updated last month
• vcerqueira / tsensembler
  R package - Dynamic Ensembles for Time Series Forecasting
  ☆35Updated 5 years ago
• mfasiolo / qgam
  Additive quantile regression R package
  ☆35Updated 10 months ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 3 years ago
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆27Updated 2 weeks ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆12Updated 6 years ago
• lorismichel / quantregForest
  R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
  ☆32Updated 7 years ago
• andremonaco / cheapml
  Machine Learning algorithms coded from scratch
  ☆22Updated 5 years ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 6 years ago
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated 2 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• rbagd / dynfactoR
  Dynamic factor model estimation for R
  ☆25Updated 3 years ago
• mattblackwell / causalsens
  A sensitivity analysis package for causal effects
  ☆12Updated last year
• ModelOriented / hstats
  Friedman's H-statistics
  ☆33Updated last month
• boennecd / rollRegres
  R package for fast rolling and expanding linear regression models
  ☆22Updated 3 years ago
• ModelOriented / EIX
  Structure mining for xgboost model
  ☆26Updated 3 weeks ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• brian-j-smith / MachineShop
  MachineShop: R package of models and tools for machine learning
  ☆62Updated last month
• talegari / solitude
  An implementation of Isolation forest
  ☆25Updated 4 years ago
• coatless-rpkg / r-to-armadillo
  Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)
  ☆30Updated 2 years ago