Model-Free Sure Independent Screening Procedures


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Documentation for package ‘MFSIS’ version 0.2.1

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BcorSIS A Generic Sure Independence Screening Procedure
CAS Category-Adaptive Variable Screening for Ultra-High Dimensional Heterogeneous Categorical Data
CISIS Model-Free Feature screening Based on Concordance Index for Ultra-High Dimensional Categorical Data
Cor Parallel function This is a parallel function about the projection correlation.
CSIS Model-Free Feature screening Based on Concordance Index Statistic
DCSIS Feature Screening via Distance Correlation Learning
GendataAFT Generate simulation data (Survival data based on the accelerated failure time model)
GendataCox Generate simulation data (Survival data based on the Cox model)
GendataGP Generate simulation data (Complete data with group predictors)
GendataIM Generate simulation data (Complete data for intersection variables)
GendataLDA Generate simulation data (Categorial based on linear discriminant analysis model)
GendataLGM Generate simulation data (Binary category data based on logistic model)
GendataLM Generate simulation data (Complete data based on linear models)
GendataMRM Generate simulation data (Multivariate response models)
GendataPM Generate simulation data (Discrete response data based on poisson model)
GendataTM Generate simulation data (Complete data based on transformation model)
get_arccos Arccos function
Kfilter The Kolmogorov filter for variable screening
Kfilter_fused The fused kolmogorov filter: a nonparametric model-free screening method
Kfilter_single The Kolmogorov filter for variable screening in high-dimensional binary classification
MDCSIS Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
MFSIS Model-free feature screening procedures
MVSIS Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
PCSIS Model-Free Feature Screening Based on the Projection Correlation
projection_corr Projection correlation function
PSIS Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening
req_py Detect Python Module
Simdata Generate simulation data (The unified class framework to generate simulation data)
SIRS Model-Free Feature Screening for Ultrahigh Dimensional Data
SIS Sure Independent Screening
WLS A Model-free Variable Screening Method Based on Leverage Score