preprocess.data


Numeric vector of data to be used in density estimation.


data


Lower bound on density support. Default: if missing or NULL, the lower bound
is taken to be min(x) - 2 * sd(x). If -inf, the lower bound is taken to be
mean (x) - 10 * sd(x).


lower


Upper bound on density support. Default: if missing or NULL, the upper bound
is taken to be max(x) + 2 * sd(x). If inf, the upper bound is taken to be
mean (x) + 10 * sd(x).


upper


The epispline parameters are the data plus lower and upper bounds on the
support of the estimated density.


Produce one-dimensional density estimates using
exponential epi-splines. The user may incorporate soft information, by
imposing constraints that (i) require unimodality; (ii) require that the
density be monotone non-increase or non-decreasing; (iii) put upper bounds
on first or second moments; (iv) bound the density's values at mesh points;
(v) require that the estimate be continuous or continuously differentiable;
and more.

preprocess.data: Preprocess data to construct epiparameters.

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