theme_Publication

Plot variable dependence using an oblique random survival forest

Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.

Byron Jaeger

obliqueRSF

Oblique Random Forests for Right-Censored Time-to-Event Data

theme_Publication function

Arguments

Plot variable dependence using an oblique random survival forest — theme_Publication

theme_Publication: Plot variable dependence using an oblique random survival forest

Description

Usage

Arguments