paultpearson / TDAmapper
(R package) Analyze High-Dimensional Data Using Discrete Morse Theory
☆73Updated last month
Related projects: ⓘ
- R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.☆37Updated 2 years ago
- R package for dimensionality reduction of small datasets☆67Updated this week
- Library of Stan Models for Survival Analysis☆123Updated 4 years ago
- Python software for selective inference☆51Updated last year
- An R package for large scale estimation with stochastic gradient descent☆60Updated 7 months ago
- This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…☆109Updated 7 months ago
- Inference case studies in knitr☆162Updated 2 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆64Updated 3 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆44Updated 3 years ago
- Path algorithm for generalized lasso problems☆32Updated last year
- Dimensionality reduction for binary data☆49Updated 4 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated 8 months ago
- rTensor v1.2☆33Updated 7 years ago
- Projection predictive variable selection☆110Updated this week
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated last year
- Build dirichletprocess objects for data analysis☆57Updated last year
- Fast truncated singular value decompositions☆126Updated 6 months ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆150Updated last month
- ☆30Updated last year
- Stability Selection with Error Control☆26Updated 3 years ago
- Notes on generalized linear models☆111Updated 5 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆74Updated last month
- An R package implementing the UMAP dimensionality reduction method.☆316Updated last week
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last year
- Inside every classical test there is a Bayesian model trying to get out.☆326Updated 8 years ago
- Randomized Matrix Decompositions using R☆97Updated 3 years ago
- An R package for better visualizing a statistical learning model☆34Updated 2 years ago
- Utilities for glmnet☆63Updated last year
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- gputools R package for gpu computing☆68Updated 5 years ago