bounds: Main function. Computes identification interval.

In jrzubizarreta/scbounds: Shape-constrained partial identification of a population mean under unknown probabilities of sample selection

Description

Main function. Computes identification interval.

Usage

bounds(X, sampling.ratio = 5, constraint = c("none", "logconcave",
  "symmetric", "gaussian"), alpha = 1/sqrt(length(X)), xmin = NULL,
  xmax = NULL, buckets = 1000)

Arguments

X	The observed data.
sampling.ratio	Bound on the sampling weights gamma.
constraint	Optional constraint on the shape of F.
alpha	Significance level used for KS bounds.
xmin	Used to construct histogram representation.
xmax	Used to construct histogram representation.
buckets	Used to construct histogram representation.

Value

mu.interval The identification interval for mu(x).

lower.bound.internal Internal data used to create lower bound.

upper.bound.internal Internal data used to create upper bound.

jrzubizarreta/scbounds documentation built on May 20, 2019, 5:26 p.m.