R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
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Updated
Nov 23, 2021 - R
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
R package for computing the Mapper construction from Topological Data Analysis
ggplot2 extension to visualize persistent homology
A statistical framework for feature selection and association mapping with 3D shapes
R code associated with preprint proposing flat persistence diagram for better visualization of persistent homology.
An R package for feature selection in topological spaces.
Code to Implement the Smooth Euler Characteristic Transform (SECT)
R interface & extension to an adapted Persistence Landscapes Toolbox
uniform samplers from immersed manifolds
procedures to generate landmark sets from finite metric spaces
R package for generating synthetic shapes and images using the α-shape sampler
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
Code supporting "Comparing R packages for calculation of persistent homology" manuscript
Persistance and barcode diagrams using TDAstats package.
Previously epidemiologists have not relied on topological data analysis to model disease spread. Instead, they have used variants of the SIR compartmental model from classic epidemiology theory and stochastic models. This project will hopefully show how topological data analysis can be considered for use as an extra tool in epidemiology.
This project includes code and R scripts implementing the author's doctoral thesis research work on the simplicial Hausdorff distance.
Maths for Big Data
Hypothesis testing for topological data analysis via the smooth Euler characteristic transform
All code, scripts, and figures for Topological Data Analysis related papers.
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