preprocess.data: Preprocess data to construct epiparameters.

In episplineDensity: Density Estimation with Soft Information by Exponential Epi-splines

Description

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

Usage

preprocess.data(data, lower, upper)

Arguments

data	Numeric vector of data to be used in density estimation.
lower	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).
upper	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).

Details

Data outside the bounds is discarded.

Value

List of epiparameters, with entries

data	Data as passed, with entries outside the bounds deleted
m0	Lower bound
mN	Upper bound

Author(s)

Sam Buttrey, from matlab code by Royset and Wets

See Also

expepi

episplineDensity documentation built on May 1, 2019, 7:28 p.m.