paultpearson / TDAmapperLinks
(R package) Analyze High-Dimensional Data Using Discrete Morse Theory
☆77Updated last year
Alternatives and similar repositories for TDAmapper
Users that are interested in TDAmapper are comparing it to the libraries listed below
Sorting:
- R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.☆40Updated 3 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 2 weeks ago
- Path algorithm for generalized lasso problems☆33Updated 2 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last week
- ggplot2 extension to visualize persistent homology☆25Updated last month
- Fast truncated singular value decompositions☆132Updated last year
- Randomized Matrix Decompositions using R☆102Updated 4 years ago
- rTensor v1.2☆35Updated 8 years ago
- Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences☆100Updated last month
- Notes on generalized linear models☆109Updated 7 years ago
- R package for dimensionality reduction of small datasets☆69Updated 2 weeks ago
- An R package for better visualizing a statistical learning model☆35Updated 3 years ago
- Projection predictive variable selection☆112Updated last week
- gputools R package for gpu computing☆69Updated 7 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- Inside every classical test there is a Bayesian model trying to get out.☆327Updated 9 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- R package for statistical inference using partially observed Markov processes☆118Updated last month
- repo for "Optimal Inference After Model Selection"☆14Updated 8 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call☆50Updated 5 years ago
- Dynamic statistical comparisons in R☆17Updated 7 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 2 months ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated last week
- This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…☆113Updated 9 months ago
- An R package for analysis of curve data with phase and amplitude variation☆20Updated 6 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆88Updated 2 years ago