Description Usage Arguments Details Value Author(s) Examples
Given a sample X, it gives a pointwise evaluation of the multivariate normal (MVN) density fit at position y.
1 |
y |
points at which the MVN is evaluated. It can be either a d-dimensional vector or an n by d matrix, each row indicating a different position. |
X |
an n by d matrix containing the data. |
log |
if TRUE the log-density is returned. |
verbose |
currently not used. |
alpha |
tuning parameter of |
beta |
tuning parameter of |
The covariance matrix is estimated robustly, using the robCov
function.
A vector where the i-th entry is the density corresponding to the i-th row of y.
Matteo Fasiolo <matteo.fasiolo@gmail.com> and Simon N. Wood.
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