bounds.symmetric.internal: Computes upper identification interval with symmetry...

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

Description

Computes upper identification interval with symmetry constraints.

Usage

bounds.symmetric.internal(X, sampling.ratio = 5, xmin = NULL, xmax = NULL,
  buckets = 1000, alpha = 1/sqrt(length(X)))

Arguments

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

Value

mu.bound The upper bound for mu(x).

Xhat Unweighted empirical CDF of the data.

xvals Points at which Xhat is evaluated.

Xhat.weighted Weighted version of Xhat that maximizes mu, subject to symmetry.

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