ramhiser / datamicroarray
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
☆105Updated 9 years ago
Alternatives and similar repositories for datamicroarray:
Users that are interested in datamicroarray are comparing it to the libraries listed below
- Regularization paths for regression models with grouped covariates☆34Updated last month
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆43Updated 7 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
- Regularization paths for SCAD- and MCP-penalized regression models☆42Updated 3 weeks ago
- Build dirichletprocess objects for data analysis☆59Updated last year
- DOCUMENTATION:☆125Updated 3 weeks ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆47Updated 4 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- Perform PCA on data with missing values in R☆50Updated last year
- biglasso: Extending Lasso Model Fitting to Big Data in R☆114Updated last month
- ☆8Updated 5 years ago
- Bayesian kernel machine regression☆56Updated 5 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
- R software for selective inference☆34Updated 5 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated 8 months ago
- Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).☆79Updated 11 months ago
- R package for dimensionality reduction of small datasets☆68Updated 3 months ago
- A Bayesian group factor model with structured sparsity☆20Updated 9 years ago
- Survival Support Vector Analysis☆16Updated 3 weeks ago
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆87Updated last month
- An R package for testing high-dimensional covariance matrices☆11Updated 7 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆32Updated 2 years ago
- High-Dimensional Undirected Graph Estimation☆12Updated last year
- Flexible Imputation of Missing Data - bookdown source☆51Updated 8 months ago
- Simulate Survival Data☆23Updated 4 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Testing version of fdapace☆31Updated 9 months ago
- An R-Java Bayesian Additive Regression Trees implementation☆63Updated last year