Quick info
Yi Yang has worked on 21 packages so far. In total, Yi Yang has worked with 47 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| DR.SC | Joint Dimension Reduction and Spatial Clustering |
| HDtweedie | The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm |
| KERE | Expectile Regression in Reproducing Kernel Hilbert Space Yi Yang , Teng Zhang , Hui Zou |
| KnockoffHybrid | Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control |
| KnockoffTrio | Trio Data Analysis with Knockoff Statistics for FDR Control |
| MLGL | Multi-Layer Group-Lasso Quentin Grimonprez , Samuel Blanck , Alain Celisse , Guillemette Marot , Yi Yang , Hui Zou |
| PRECAST | Embedding and Clustering with Alignment for Spatial Datasets |
| SC.MEB | Spatial Clustering with Hidden Markov Random Field using Empirical Bayes Yi Yang , Xingjie Shi , Jin Liu |
| SOIL | Sparsity Oriented Importance Learning Chenglong Ye , Yi Yang , Yuhong Yang |
| TDboost | A Boosted Tweedie Compound Poisson Model Yi Yang , Hui Zou , Wei Qian , Greg Ridgeway |
| erboost | Nonparametric Multiple Expectile Regression via ER-Boost Yi Yang , Hui Zou , Greg Ridgeway |
| ezglm | selects significant non-additive interaction between two variables using fast GLM implementation |
| fastcox | Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm |
| fasterElasticNet | An Amazing Fast Way to Fit Elastic Net Jingyi Ma , Qiuhong Lai , Linyu Zuo , Yi Yang , Meng Su , Zhen Yu , Gege Gao , Xiao Liu , Xueni Ruan , Xinyuan Yang , Yu Bai , Zhijun Liao |
| free | Flexible Regularized Estimating Equations Yi Lian , Yi Yang , Yuwen Gu , Jun Fan , Yue Zhao , Robert W. Platt |
| gcdnet | The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm |
| gglasso | Group Lasso Penalized Learning Using a Unified BMD Algorithm Yi Yang , Hui Zou , Sahir Bhatnagar |
| ggmix | Variable Selection in Linear Mixed Models for SNP Data Sahir Bhatnagar , Karim Oualkacha , Yi Yang , Celia Greenwood |
| glmvsd | Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models Ying Nan , Yanjia Yu , Yi Yang , Yuhong Yang |
| msda | Multi-Class Sparse Discriminant Analysis |
| sparsegl | Sparse Group Lasso Daniel J. McDonald , Xiaoxuan Liang , Anibal Solón Heinsfeld , Aaron Cohen , Yi Yang , Hui Zou , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang |