Alternatives and similar repositories for bstspost:

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

• robjhyndman / anomalous
  Anomalous time series package for R
  ☆92Updated 6 years ago
• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 6 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆110Updated 6 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
• klarsen1 / gampost
  ☆78Updated 9 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆47Updated last year
• harrysouthworth / gbm
  Gradient boosted models
  ☆105Updated 10 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 8 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• pkremp / polls
  ☆161Updated 8 years ago
• szilard / benchm-databases
  A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (inte…
  ☆90Updated 7 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆140Updated 11 months ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• klarsen1 / MarketMatching
  ☆134Updated last year
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 2 years ago
• jpmml / r2pmml
  R library for converting R models to PMML
  ☆74Updated last month
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 2 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 9 years ago
• ricardo-bion / medium_visualization
  ☆85Updated 7 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 8 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 10 years ago