coef.mp_cv: Coefficients of a Fitted "mp_cv" Object

In chenshengkuang/mpersonalized: An R Package for Personalized Medicine in Meta-analysis and Multiple Outcomes

Description

This function provides coef method for "mp_cv" class objects.

Usage

## S3 method for class 'mp_cv'
coef(object, ...)

Arguments

object	A fitted "mp" object returned by "mpersonalized".
...	not used

Value

The fitted coefficients corresponding to the optimal penalty parameter.

Examples

set.seed(123)
sim_dat  = simulated_dataset(n = 200, problem = "meta-analysis")
Xlist = sim_dat$Xlist; Ylist = sim_dat$Ylist; Trtlist = sim_dat$Trtlist

# fit different rules with lasso penalty for this meta-analysis problem
mp_cvmod_diff = mpersonalized_cv(problem = "meta-analysis",
                                 Xlist = Xlist, Ylist = Ylist, Trtlist = Trtlist,
                                 penalty = "lasso", single_rule = FALSE)

mp_coef = coef(mp_cvmod_diff)
set.seed(NULL)

chenshengkuang/mpersonalized documentation built on May 28, 2019, 7:16 p.m.