gauss.interp: Interpolate Two Gaussian Distributions
In kyoustat/T4Gauss: Tools and Methods for Gaussian Distribution

method (1-t)N0 + tN1

1	gauss.interp(gauss1, gauss2, t = 0.5, method = c("wass2"))

## test with 1-dimensional Gaussian distributions
objA = wrapgauss1d(mean=1, sd=0.5)
objZ = wrapgauss1d(mean=5, sd=2)

## let's interpolate for t=0.1 to t=0.9
vec.t   = seq(from=0.1, to=0.9, by=0.1)
vec.obj = list()
for (i in 1:9){
   vec.obj[[i]] = gauss.interp(objA, objZ, t=vec.t[i])
}

## let's visualize
draw.x = seq(from=-3, to=11, length.out=1234)
draw.A = gauss.eval(draw.x, objA)
draw.Z = gauss.eval(draw.x, objZ)

plot(draw.x, draw.A, type="l", xlim=c(-1,11), ylim=c(0,1), lwd=2,
     xlab="x", ylab="y", main="Interpolated Gaussians between Two Black")
lines(draw.x, draw.Z, lwd=2)
for (i in 1:9){
  draw.t = gauss.eval(draw.x, vec.obj[[i]])
  lines(draw.x, draw.t, col=(i+1), lty=2, lwd=0.5)
}