test.ridge: Test of ridge point
In Epsilon127/ldder: Local Density Derivative Estimation

test.ridge returns TRUE if with confidence 1-alpha there is a ridge point at x.

1	test.ridge(est, x, n, h, type, alpha = 0.05, S.tilde)

`est`	Vector with the estimator of the log-density derivatives.
`x`	A vector or matrix containing the points at which the test will be executed.
`n`	Sample size
`h`	A number specifying the bandwidth.
`type`	A character string specifying the used kernel function.
`alpha`	Confidence level
`S.tilde`	Hessian matrix of the sample score