plot_cp {ciuupi} | R Documentation |
Plot the graph of the coverage probability of the CIUUPI
Description
The input bs.list
determines the functions and
that specify the confidence interval that utilizes the uncertain
prior information (CIUUPI), for all possible values of
and observed response vector.
The coverage probability of the CIUUPI is an even function of
the unknown parameter
.
The R function
plot_cp
plots the graph of the coverage probability
of the CIUUPI, as a function of .
To provide a stringent
assessment of this coverage probability, we use a fine equally-spaced grid
seq(0, (d+4), by = 0.01)
of values of
and Gauss Legendre quadrature
using 10 nodes in the relevant integrals. By contrast,
for the computation
of the CIUUPI, implemented in
bs_ciuupi
, we
require that the coverage probability of this confidence
interval is greater than or equal to
for the equally-spaced grid
seq(0, (d+2), by = 0.05)
of values of
and we use Gauss Legendre quadrature
with 5 nodes in the relevant integrals.
Usage
plot_cp(bs.list)
Arguments
bs.list |
A list that includes the following components.
where |
Value
A plot of the graph of the coverage probability of the
CIUUPI as a function of , where
denotes the unknown parameter
.
Examples
plot_cp(bs.list.example)