Variable selection techniques are essential tools for model
selection and estimation in high-dimensional statistical models. Through this
publicly available package, we provide a unified environment to carry out
variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)) and all
of its variants in generalized linear models (Fan and Song (2009)) and the Cox proportional hazards
model (Fan, Feng and Wu (2010)).