erichson / spcaLinks
Sparse Principal Component Analysis (SPCA) using Variable Projection
☆69Updated 7 years ago
Alternatives and similar repositories for spca
Users that are interested in spca are comparing it to the libraries listed below
Sorting:
- Randomized Matrix Decompositions using R☆100Updated 4 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- Dimension Reduction and Estimation Methods☆54Updated 2 years ago
- Regularization paths for regression models with grouped covariates☆34Updated last week
- Build dirichletprocess objects for data analysis☆59Updated last year
- Stability Selection with Error Control☆26Updated 4 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆47Updated 4 years ago
- Regularization paths for SCAD- and MCP-penalized regression models☆43Updated 2 weeks ago
- R package for dimensionality reduction of small datasets☆69Updated 7 months ago
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Perform PCA on data with missing values in R☆51Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆44Updated 2 months ago
- SNE Simulation Dataset Functions☆12Updated 5 months ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated last year
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- Fast truncated singular value decompositions☆131Updated last year
- A Bayesian group factor model with structured sparsity☆21Updated 9 years ago
- repo for "Optimal Inference After Model Selection"☆13Updated 8 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- Dimensionality reduction for exponential family data by extending PCA☆23Updated 7 years ago
- ☆31Updated 3 months ago
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated last year
- ☆17Updated 2 months ago
- R software for selective inference☆35Updated 5 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 10 months ago
- R package for adaptive correlation and covariance matrix shrinkage.☆23Updated 6 years ago
- DOCUMENTATION:☆128Updated 2 months ago
- Bayesian kernel machine regression☆59Updated 8 months ago