Alternatives and similar repositories for change-tutorial

Users that are interested in change-tutorial are comparing it to the libraries listed below

• benjamin-allevius / scanstatistics
  An R package for space-time anomaly detection using scan statistics.
  ☆50Updated 5 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆36Updated 8 years ago
• m-clark / generalized-additive-models
  A document introducing generalized additive models.📈
  ☆82Updated last year
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 months ago
• tidymodels / model-implementation-principles
  recommendations for creating R modeling packages
  ☆41Updated 3 years ago
• robertgrant / dataviz-book
  "Data Visualization: charts, maps and interactive graphics" (the making of)
  ☆28Updated 3 years ago
• eric-pedersen / mgcv-esa-workshop
  ☆49Updated last year
• dlab-berkeley / Unsupervised-Learning-in-R
  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
  ☆47Updated 5 years ago
• jessecambon / Data-Science-Sandbox
  Code and resources to serve as a starting point for data science projects.
  ☆22Updated 4 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated last year
• WhyR2019 / presentations
  ☆22Updated 5 years ago
• goldingn / gpe
  Gaussian process everything - an R package to reimplement and combine common statistical models using GPs
  ☆27Updated 7 years ago
• kateto / R-igraph-Network-Workshop-NetSciX
  NetSciX 2016 workshop on network analysis and visualization with R and igraph
  ☆77Updated 9 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• jrnold / docker-stan
  Dockerfiles with rstan and CmdStan
  ☆24Updated 6 years ago
• rlbarter / Practical-Statistics
  ☆24Updated 5 years ago
• andremonaco / cheapml
  Machine Learning algorithms coded from scratch
  ☆22Updated 4 years ago
• rlbarter / reproducibility-workflow
  A short and to-the-point summary of a reproducible data science workflow
  ☆58Updated 6 years ago
• mikemeredith / BEST
  Bayesian Estimation Supersedes t-Test
  ☆30Updated 3 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• hadley / table-shapes
  ☆34Updated 6 years ago
• cran / mgcv
   This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation …
  ☆32Updated 6 months ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 6 years ago
• ModelOriented / live
  Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…
  ☆35Updated 6 years ago
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆23Updated this week
• StatTag / StatTag
  Windows version of StatTag
  ☆23Updated 10 months ago
• mfrasco / Metrics
  An R package for common supervised machine learning metrics.
  ☆102Updated 5 years ago
• binder-examples / r_with_python
  Minimal working example for a binder with both R and Python Jupyter and RMarkdown notebooks
  ☆31Updated 6 years ago