test_that("eb lasso results match previous veb_lasso implementation",{
set.seed(1)
n=1000
p = 100
X = matrix(rnorm(n*p), nrow=n)
sb2 = 4
#btrue = rnorm(p,sd = sqrt(sb2))
btrue = rexp(p, rate=1)
s2 = 1
y = X %*% cbind(btrue) + rnorm(n,sd=sqrt(s2))
suppressWarnings(y.fit <- ebmr(X,y,maxiter=200,tol=1e-3))
y.fit$residual_variance
y.blasso = blasso_veb(y,X,btrue,niter = 200)
expect_equal(y.blasso$s2,y.fit$residual_variance,tol=1e-3)
expect_equal(y.blasso$eta, y.fit$residual_variance * y.fit$g$w * y.fit$sb2, tol=1e-3)
expect_equal(y.blasso$bhat, y.fit$mu,tol=1e-3)
}
)
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