Model-Free Sure Independent Screening Procedures

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Documentation for package ‘MFSIS’ version 0.2.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

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