dmarglcd {LogConcDEAD} | R Documentation |
Integrates the log-concave maximum likelihood estimator of multivariate data to evaluate the marginal density at a point.
dmarglcd(x=0, lcd, marg=1) lcd.marg.eval (lcd, point=0, marg=1)
x, point |
Point (or vector of points) at which the marginal density is to be evaluated |
lcd |
Object of class "LogConcDEAD" (typically output from mlelcd ) |
marg |
Which margin is required? |
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 f_n,marg (x),
as obtained by integrating over all the other dimensions.
For examples, see mlelcd
.
lcd.marg.eval
is deprecated, but retained for compatibility with previous versions.
A vector
containing the values of the marginal density f_n,marg at the points x
.
Madeleine Cule mlc40@cam.ac.uk
Robert Gramacy
Richard Samworth