erichson / rSVDLinks
Randomized Matrix Decompositions using R
☆102Updated 4 years ago
Alternatives and similar repositories for rSVD
Users that are interested in rSVD are comparing it to the libraries listed below
Sorting:
- Path algorithm for generalized lasso problems☆34Updated 3 years ago
- Fast truncated singular value decompositions☆133Updated last year
- Stability Selection with Error Control☆26Updated 4 years ago
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering☆84Updated 3 weeks ago
- ARCHIVED Wraps UMAP Algorithm for Dimension Reduction☆111Updated 3 years ago
- Infrastructure for Ordering using Seriation - R Package☆84Updated 2 months ago
- R package for dimensionality reduction of small datasets☆69Updated 2 months ago
- R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems☆85Updated 5 months ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 4 months ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- biglasso: Extending Lasso Model Fitting to Big Data in R☆115Updated last month
- Regularization paths for SCAD- and MCP-penalized regression models☆44Updated last week
- An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)☆58Updated 6 years ago
- gputools R package for gpu computing☆69Updated 7 years ago
- An R library for accurate and fast calculations of Precision-Recall and ROC curves☆44Updated 8 months ago
- R package for statistical inference using partially observed Markov processes☆120Updated 2 months ago
- A Framework for Dimensionality Reduction in R☆73Updated 9 months ago
- Fast thresholded correlation mattices☆31Updated 5 years ago
- Dynamic statistical comparisons in R☆17Updated 7 years ago
- ☆131Updated 2 years ago
- R package of generic neural network tools☆72Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago
- Regularization paths for regression models with grouped covariates☆35Updated last month
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated last year
- Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo☆15Updated 9 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- R software for selective inference☆36Updated 6 years ago
- A collection of Poisson lognormal models for multivariate count data analysis☆58Updated 2 months ago