rudazhang/plmr: Probabilistic Learning on Manifolds in R
R Implementation of methods for probabilistic learning on manifolds (PLoM), e.g. diffusion maps reduced basis MCMC sampling, ridge estimation, normal-bundle bootstrap (NBB), diffusion sampling, manifold scaffold, manifold-constrained inference, optimization, etc.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://ruda.city/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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