Canhong Wen
Author of 6 CRAN packages
Canhong Wen has worked on 6 packages so far. That's a lot of coding! Clearly, Canhong Wen is on a mission. With 20 collaborators, Canhong Wen was part of a truly massive undertaking. It takes a village to code something great!
6 Packages
- BeSSBest Subset Selection in Linear, Logistic and CoxPH Models
- FastSFFast Structural Filtering
- abessFast Best Subset Selection
- bestridgeA Comprehensive R Package for Best Subset Selection
- cdcsisConditional Distance Correlation Based Feature Screening and Conditional Independence Inference
- glmlepFit GLM with LEP-Based Penalized Maximum Likelihood