R: Model-Free Sure Independent Screening Procedures

# Model-Free Sure Independent Screening Procedures

## Documentation for package ‘MFSIS’ version 0.3.1

- 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)
GendataIC | Generate Simulation Data for Interval-Censored Screening
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
LogrankSIS | Generalized Log-rank Sure Independence Screening for Ultrahigh-Dimensional Interval-Censored Response
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