plot_squared_sel {ciuupi} | R Documentation |
Plot the graph of the squared scaled expected length of the CIUUPI
Description
The input bs.list
determines the functions b
and s
that specify the confidence interval that utilizes the uncertain
prior information (CIUUPI), for all possible values of \sigma
and observed response vector.
The scaled expected length of the CIUUPI is an even function of
the unknown parameter
\gamma = \tau \big/ \big(\sigma \, v_{\tau}^{1/2} \big)
.
The R function plot_squared_sel
plots the graph of the squared scaled
expected length (i.e. squared SEL)
of the CIUUPI, as a function of |\gamma|
.
To provide a stringent
assessment of this squared SEL, we use a grid
seq(0, (d+4), by = 0.01)
of values of
\gamma
and Gauss Legendre quadrature
with 10 nodes in the relevant integrals. By contrast,
for the computation
of the CIUUPI, implemented in bs_ciuupi
, we
use Gauss Legendre quadrature
with 5 nodes in the relevant integrals.
Usage
plot_squared_sel(bs.list)
Arguments
bs.list |
A list that includes the following components.
where |
Value
A plot of the graph of the squared scaled
expected length (i.e. squared SEL)
of the CIUUPI as a function of |\gamma|
, where
\gamma
denotes the unknown parameter
\tau \big/ \big(\sigma \, v_{\tau}^{1/2} \big)
.
Examples
plot_squared_sel(bs.list.example)