R: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization

# Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization

## Documentation for package ‘orthoDr’ version 0.6.8

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

CP_SIR | Counting process based sliced inverse regression model
distance | Compute Distance Correlation
dist_cross | Cross distance matrix
hMave | Hazard Mave for Censored Survival Data
kernel_weight | Kernel Weight
orthoDr_pdose | Direct Learning & Pseudo-direct Learning Model
orthoDr_reg | Semiparametric dimension reduction method from Ma & Zhu (2012).
orthoDr_surv | Counting Process based semiparametric dimension reduction (IR-CP) model
ortho_optim | Orthogonality constrained optimization
predict.orthoDr | Predictions under 'orthoDr' models
print.orthoDr | Print a 'orthoDr' object
pSAVE | Partial Sliced Averaged Variance Estimation
silverman | Silverman's rule of thumb
skcm.clinical | Skin Cutaneous Melanoma Data set
skcm.melgene | Genes associated with Melanoma given by the MelGene Database
view_dr_surv | 2D or 2D view of survival data on reduced dimension