erichson / spca
Sparse Principal Component Analysis (SPCA) using Variable Projection
☆68Updated 7 years ago
Alternatives and similar repositories for spca:
Users that are interested in spca are comparing it to the libraries listed below
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- Regularization paths for regression models with grouped covariates☆34Updated 2 months ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Dimension Reduction and Estimation Methods☆52Updated 2 years ago
- Stability Selection with Error Control☆26Updated 4 years ago
- A toolbox for sparse contrastive principal component analysis☆12Updated 2 months ago
- Randomized Matrix Decompositions using R☆99Updated 4 years ago
- Multivariate Functional Principal Component Analysis☆32Updated 2 years ago
- Regularization paths for SCAD- and MCP-penalized regression models☆42Updated last month
- R package for dimensionality reduction of small datasets☆69Updated 4 months ago
- Perform PCA on data with missing values in R☆50Updated last year
- Build dirichletprocess objects for data analysis☆59Updated last year
- A Bayesian group factor model with structured sparsity☆20Updated 9 years ago
- A versatile interface to the knockoff methodology.☆24Updated 3 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆47Updated 4 years ago
- ☆18Updated 8 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- An R package for non-negative and sparse CCA☆13Updated 2 years ago
- Convex optimization for statistics and machine learning☆16Updated 3 months ago
- R implementation of VCBART☆21Updated 11 months ago
- Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models☆15Updated 3 years ago
- R package for Non-negative Tensor Decomposition☆16Updated 11 months ago
- This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Home…☆86Updated last year
- An S4 class for functional data in R☆14Updated last year
- Bayesian Gaussian Graphical Models☆56Updated 3 weeks ago
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- repo for "Optimal Inference After Model Selection"☆11Updated 8 years ago
- energy package for R☆46Updated 8 months ago