erichson / spcaLinks
Sparse Principal Component Analysis (SPCA) using Variable Projection
☆71Updated 7 years ago
Alternatives and similar repositories for spca
Users that are interested in spca are comparing it to the libraries listed below
Sorting:
- Path algorithm for generalized lasso problems☆34Updated 3 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Randomized Matrix Decompositions using R☆102Updated 4 years ago
- Build dirichletprocess objects for data analysis☆62Updated 2 years ago
- Regularization paths for regression models with grouped covariates☆35Updated last month
- Stability Selection with Error Control☆26Updated 4 years ago
- Dimension Reduction and Estimation Methods☆55Updated 4 months ago
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- repo for "Optimal Inference After Model Selection"☆15Updated 8 years ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆47Updated 7 months ago
- R package for dimensionality reduction of small datasets☆69Updated 2 months ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago
- Regularization paths for SCAD- and MCP-penalized regression models☆44Updated last week
- An R package for non-negative and sparse CCA☆14Updated 2 years ago
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.☆107Updated 10 years ago
- R software for selective inference☆36Updated 6 years ago
- ☆17Updated 2 weeks ago
- Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models☆15Updated 4 years ago
- R package for statistical inference using partially observed Markov processes☆120Updated 2 months ago
- DOCUMENTATION:☆130Updated 2 weeks ago
- energy package for R☆49Updated last year
- A Bayesian group factor model with structured sparsity☆22Updated 10 years ago
- R implementation of VCBART☆22Updated last month
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 4 months ago
- R package for adaptive correlation and covariance matrix shrinkage.☆23Updated 7 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated last year
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 4 years ago