🧩 R Packages
📦 SIS
v0.8-8Sure Independence Screening
📦 RAMP
v2.0.2Regularized Generalized Linear Models with Interaction Effects
📦 r02pro
v0.2R Programming: Zero to Pro
📦 nproc
v2.1.5Neyman-Pearson (NP) Classification Algorithms and NP Receiver
📦 pgraph
v1.6Build Dependency Graphs using Projection
📦 RaSEn
v3.0.0Random Subspace Ensemble Classification and Variable Screening
📦 glmtrans
v2.0.0Transfer Learning under Regularized Generalized Linear Models
📦 npcs
v0.1.1Neyman-Pearson Classification via Cost-Sensitive Learning
📦 mtlgmm
v0.1.0Unsupervised Multi-Task and Transfer Learning on Gaussian
💻 GitHub Repositories
📦 GeoERM
Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
📦 multi_net
Spectral clustering via adaptive layer aggregation for multi-layer networks
📦 RL-MTL-TL
Representation Learning based Multi-Task Learning and Transfer Learning
📦 PCABM
Pairwise Covariate Adjusted Stochastic Block Model
📦 DLSM
Dynamic Latent Space Model for Social Networks
📦 nproc
Neyman-Pearson Classification (Python Package)
📦 SIS
Sure Independence Screening (R Package)
📦 FedGrEM
Federated Gradient EM Algorithm
📦 RaSEn
Random Subspace Ensemble Classification (R Package)