plot.mp_cv: Interaction Plot for an "mp_cv" Class Object.

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

Description

This function plots interaction between received treatment and recommended treatment, given the optimal penalty parameter.

Usage

## S3 method for class 'mp_cv'
plot(x, ...)

Arguments

x	A fitted 'mp_cv' class object returned by mpersonalzied_cv function
...	not used

Value

A list object representing the interaction plots for the optimal penalty parameter configuration. Specifically, kth element is the interaction plot for the kth study/outcome.

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)

plots = plot(x = mp_cvmod_diff)
set.seed(NULL)

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