🧩 R Packages

📦 SIS

v0.8-8

Sure Independence Screening

📦 RAMP

v2.0.2

Regularized Generalized Linear Models with Interaction Effects

📦 r02pro

v0.2

R Programming: Zero to Pro

📦 nproc

v2.1.5

Neyman-Pearson (NP) Classification Algorithms and NP Receiver

📦 pgraph

v1.6

Build Dependency Graphs using Projection

📦 RaSEn

v3.0.0

Random Subspace Ensemble Classification and Variable Screening

📦 glmtrans

v2.0.0

Transfer Learning under Regularized Generalized Linear Models

📦 npcs

v0.1.1

Neyman-Pearson Classification via Cost-Sensitive Learning

📦 mtlgmm

v0.1.0

Unsupervised 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)