tdhock / change-tutorialLinks
Materials for the useR2017 tutorial on changepoint detection
☆36Updated 11 months ago
Alternatives and similar repositories for change-tutorial
Users that are interested in change-tutorial are comparing it to the libraries listed below
Sorting:
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- An R package for space-time anomaly detection using scan statistics.☆49Updated 5 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated last year
- A Framework for Dimensionality Reduction in R☆73Updated 8 months ago
- A place for the development version of the changepoint package on CRAN.☆139Updated last year
- A random-forest-based approach for imputing clustered incomplete data☆36Updated 8 years ago
- Dockerfiles with rstan and CmdStan☆24Updated 7 years ago
- recommendations for creating R modeling packages☆41Updated 4 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- Machine learning pipelines for R.☆67Updated 9 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 9 months ago
- Composable Preprocessing Operators for MLR☆37Updated 7 months ago
- A document introducing generalized additive models.📈☆82Updated 2 years ago
- Anonymize data containing Personally Identifiable Information (PII) in R☆77Updated 8 years ago
- Stan website built using Quarto, theming in repo quarto-config☆23Updated last month
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 2 months ago
- Non-parametric Bayesian Inference for Conservation Decisions☆46Updated 5 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Gaussian process everything - an R package to reimplement and combine common statistical models using GPs☆27Updated 7 years ago
- Automated Feature Selection☆65Updated 7 years ago
- ☆22Updated 6 years ago
- Tools for doing statistical inference using data plots☆58Updated 11 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- NetSciX 2016 workshop on network analysis and visualization with R and igraph☆77Updated 10 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- A high-level interface to keras for R that takes advantage of formulas☆50Updated 6 years ago
- An introduction to Bayesian statistics☆75Updated last year
- R package to interface with OpenML☆99Updated last year
- A short and to-the-point summary of a reproducible data science workflow☆58Updated 6 years ago