Integrates the maximum likelihood estimator of multivariate data over an appropriate subspace to
produce axis-aligned marginals for use in
interpmarglcd(lcd, marg=1, gridlen=100)
An (integer) scalar indicating which margin is required
An (integer) scalar indicating the size of the grid
Given a multivariate log-concave maximum likelihood
estimator in the form of an object of class
marg, this function will compute the marginal
density estimate f_n,marg.
The estimate is evaluated at
gridlen equally spaced points in
the range where the density estimate is nonzero. These points are
given in the
f_n,marg is evaluated by
integrating the log-concave maximum likelihood estimator
f_n over the other components. The marginal
density is zero outside the range of
For examples, see
Vector of values at which the marginal density is estimate is computed.
Vector of values of the integrated maximum likelihood
estimator at the locations
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