Integrates the log-concave maximum likelihood estimator of multivariate data to evaluate the marginal density at a point.
dmarglcd(x=0, lcd, marg=1)A vector containing the values of the marginal density \(\hat{f}_{n,
\tiny\texttt{marg}}\) at the points x.
Point (or vector of points) at which the marginal density is to be evaluated
Object of class "LogConcDEAD" (typically output from mlelcd)
Which margin is required?
Madeleine Cule
Robert Gramacy
Richard Samworth
Given a multivariate log-concave maximum likelihood estimator in the
form of an object of class "LogConcDEAD", a margin marg,
and a real-valued point x, this function evaluates the estimated
marginal density \(\hat{f}_{n,\tiny\texttt{marg}}(x)\),
as obtained by integrating over all the other dimensions.
For examples, see mlelcd.
mlelcd