Reference

Functions Functions in the package
Solution path Functions (and their core solvers) for finding solution path.
RSAVS_LargeN()	Robust subgroup analysis and variable selection simultaneously for large scale dataset
RSAVS_Path()	Robust subgroup analysis and variable selection simultaneously
RSAVS_Solver()	Robust subgroup analysis and variable selection simultaneously
RSAVS_Path_PureR()	Robust subgroup analysis and variable selection simultaneously
RSAVS_Solver_PureR()	Robust subgroup analysis and variable selection simultaneously
Utilities Utility functions
RSAVS_Compute_BIC()	Compute Modified BIC
RSAVS_Compute_Loss_Value()	Compute value of objective function
RSAVS_Determine_Mu()	Determine the subgroup effects
RSAVS_Further_Improve()	Post-selection estimation
RSAVS_Generate_D_Matrix()	Generate the pair-wise different matrix
RSAVS_Get_Lam_Max()	Compute lam_max
RSAVS_Get_Psi()	Compute psi_vec
RSAVS_Mu_to_Mat()	Generate the intercept term matrix according to mu_vec.
RSAVS_RI()	Rand Index
RSAVS_S_to_Groups()	Convert pair-wise difference vector to subgroup structure
RSAVS_Softthresh()	Soft thresh hold
RSAVS_Summary_Iteration()	Summary the iterations during ADMM algorithm
RSAVS_UpdateSW_Identity() RSAVS_UpdateSW_Lasso() RSAVS_UpdateSW_SCAD() RSAVS_UpdateSW_MCP()	Update S and W
RSAVS_UpdateZ_L1() RSAVS_UpdateZ_L2() RSAVS_UpdateZ_Huber()	Update Z
RSAVS_L2() RSAVS_L1() RSAVS_Huber()	Built-in loss functions
penalty_lasso() penalty_scad() penalty_mcp()	Built-in penalty functions
Datasets Datasets included in the package
Student_performance_dataset full_df mat_df por_df	Portuguese student performance dataset
Package information Basic package informations
RSAVS-package RSAVS	RSAVS: A package for robust subgroup analysis and variable selection.
Others Other Functions
rcppeigen_hello_world() rcppeigen_outerproduct() rcppeigen_innerproduct() rcppeigen_bothproducts()	Set of functions in example RcppEigen package