calibrate: Calibration across data-sets

In jacsor/MPG: Mixtures of Perturbed Gaussians

Description

This function calibrates data-sets by removing misalignment.

Usage

calibrate(x)

Arguments

x	An MPG object

Value

A list with three objects: Ycal is a matrix containing the calibrated data; calibration_distribution is an array with the posterior distribution of the shift for each observation; calibration_median is a matrix with the posterior median shift for each observation.

Examples

n = c(250, 250)
p = 4

Y1 = rbind( matrix( rnorm( n[1]*p), ncol = p), matrix( rnorm(n[2]*p) + 3, ncol = p))
Y2 = rbind( matrix( rnorm( n[1]*p), ncol = p), matrix( rnorm(n[2]*p) + 4, ncol = p))
Y = rbind(Y1, Y2)
C = c( rep(1,sum(n)), rep(2,sum(n)))

ans = mpg(Y, C)
cal = calibrate(ans)
par(mfrow=c(1,2))
plot(Y, col = C)
plot(cal$Y_cal, col = C)

jacsor/MPG documentation built on May 18, 2019, 9:05 a.m.