ed: Fit ed model to data

Description Usage Arguments Details Value Note See Also

View source: R/ed.R

Description

Calculate raw ed density estimates and fit ed model to data using loess

Usage

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ed(x, k = 10, disjoint = TRUE, degree = 2, span = 0.3, xgrid = 500,
  bounds = c(min(x), max(x)), f = NULL, family = "gaussian",
  normalize = FALSE, delta = 0, lower = NULL, control = loess.control())

Arguments

x

data, a vector

k

the gap width (in number of observations) with which to compute the raw estimates

disjoint

should non-overlapping gaps be computed? (default TRUE)

degree

degree of loess fitting (see loess)

span

span of loess fitting (see loess)

xgrid

number of equally-spaced points along the support of x at which to compute the fit

bounds

bounds at which to fit the density (see details)

f

a function providing a true density or hypothesized density, with which the ed estimate can be compared (optional)

family

loess parameter (loess)

normalize

should the resulting density be normalized so that it integrates to one?

delta

grid augmentation parameter (experimental). A value of 0 (default) disables grid augmentation.

lower

grid augmentation parameter (experimental)

control

loess parameter (see loess.control)

Details

bounds...

Value

a list with a lot of things (to be documented...). For now, look at str(result) to get an idea.

Note

This function is provided as a convenience, but often you may want to simply compute the raw estimates using ed_raw and iteratively figure out how to fit the raw estimates with whatever nonparametric method you like.

See Also

ed_raw, ed_plot


hafen/ed documentation built on May 17, 2019, 1:32 p.m.