plot_multidim: Plot Confidence Regions obtained with Split Conformal

In paolo-vergo/conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response

Plot Confidence Regions obtained with Split Conformal

Description

Plot Confidence Regions obtained with Split Conformal

Usage

plot_multidim(split, same.scale = FALSE)

Arguments

split	The output of a split multivariate conformal prediction function.
same.scale	Should I force the same scale for all the y-axis ? Default is FALSE.

Details

It exploits the package ggplot2 and gridExtra to better visualize the results. It outputs n0=length(x0) plots.

Value

g_list A list of ggplots

Examples

sample_size=98

my_grid <- seq(from=0,to=1,length.out=5)
mu <- c(0,0,0)
sigma <- rbind(c(1,0.6,0.6), c(0.6,1,0.6), c(0.6,0.6,1))
mltvnorm3 <- mvtnorm::rmvnorm(sample_size, mu, sigma)
y=t(apply(mltvnorm3,1,function(x) x[1] + x[2]*cos(6*pi*my_grid) + x[3]*sin(6*pi*my_grid)))
x=mltvnorm3 + mvtnorm::rmvt(sample_size, diag(length(mu)))## add noise

n0=10
x0 = mvtnorm::rmvt(n0, diag(length(mu)))

fun=mean_multi()
fun=lm_multi()
fun=elastic.funs()


############################## SPLIT CONFORMAL


final.point = conformal.multidim.split(x,y[,1:2],x0[1:10,], fun$train.fun, fun$predict.fun,
                             alpha=0.1,
                                split=NULL, seed=FALSE, randomized=FALSE,seed_tau=FALSE,
                                verbose=FALSE, training_size=0.5,score ="l2",s_type="st-dev")

ppp2<-plot_multidim(final.point)

paolo-vergo/conformalInference.multi documentation built on July 4, 2023, 9:50 a.m.