Nothing
revTransform <- texmex:::revTransform
mexTransform <- texmex:::mexTransform
n <- 5000
x <- cbind(rexp(n), rexp(n, 3))
x.fit <- migpd(x, mqu = 0.5, penalty="none")
marg.l <- list("laplace",
p2q = function(p) ifelse(p<0.5,log(2*p),-log(2*(1-p))),
q2p = function(q) ifelse(q<0, exp(q)/2, 1-exp(-q)/2))
marg.g <- list("gumbel",
p2q = function(p) -log(-log(p)),
q2p = function(q) exp(-exp(-q)))
y.l.m <- mexTransform(x.fit, method="mixture", margins=marg.l)$transformed
y.l.e <- mexTransform(x.fit, method="empirical", margins=marg.l)$transformed
y.g.m <- mexTransform(x.fit, method="mixture", margins=marg.g)$transformed
y.g.e <- mexTransform(x.fit, method="empirical", margins=marg.g)$transformed
u.g.m <- marg.g$q2p(y.g.m)
u.g.e <- marg.g$q2p(y.g.e)
u.l.m <- marg.l$q2p(y.l.m)
u.l.e <- marg.l$q2p(y.l.e)
x.l.m <- cbind(revTransform(u.l.m[, 1], x[, 1],
x.fit$mqu[1], x.fit$mth[1],
exp(x.fit$models[[1]]$coefficients[1]),
x.fit$models[[1]]$coefficients[2]),
revTransform(u.l.m[, 2], x[, 2],
x.fit$mqu[2], x.fit$mth[2],
exp(x.fit$models[[2]]$coefficients[1]),
x.fit$models[[2]]$coefficients[2]))
x.l.e <- cbind(revTransform(u.l.e[, 1], x[, 1], method="empirical"),
revTransform(u.l.e[, 2], x[, 2], method="empirical"))
x.g.m <- cbind(revTransform(u.g.m[,1], x[, 1],
x.fit$mqu[1],x.fit$mth[1],
exp(x.fit$models[[1]]$coefficients[1]),
x.fit$models[[1]]$coefficients[2]),
revTransform(u.g.m[,2], x[, 2],
x.fit$mqu[2],x.fit$mth[2],
exp(x.fit$models[[2]]$coefficients[1]),
x.fit$models[[2]]$coefficients[2]))
x.g.e <- cbind(revTransform(u.g.e[,1], x[, 1], method="empirical"),
revTransform(u.g.e[,2], x[, 2], method="empirical"))
expect_equal(x.l.e, x, tolerance=0.0001,
label="revTransform: empirical transformation, laplace target")
expect_equal(x.l.m, x, tolerance=0.0001,
label="revTransform: mixture transformation, laplace target")
expect_equal(x.g.e, x, tolerance=0.0001,
label="revTransform: empirical transformation, gumbel target")
expect_equal(x.g.m, x, tolerance=0.0001,
label="revTransform: mixture transformation, gumbel target")
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