postproc.control: Set options for post-processing of expepi output

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

Description

Generate a list of options for post-processing expepi output.

Usage

postproc.control(numevalpts = 10000, pic.types = c("1"), normalize.to.1 = TRUE)

Arguments

numevalpts	Integer, giving number of equally-spaced points at which to compute density estimate. Default 10,000.
pic.types	Character vector, naming the types of pictures produced. Default "1", which produces a graph of the density with points in red circles.
normalize.to.1	The density should integrate to exactly 1, but sometimes the numeric value is a little different from 1. If this is TRUE, the density's values are scaled so that the integral is exactly 1.

Value

A list of preprossing options with the values of the arguments.

Note

Currently only one picture is supported.

Author(s)

Sam Buttrey

See Also

expepi, ~~~

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