OverlapCurve {rvalues} | R Documentation |
Overlap Curve
Description
Estimates the expected proportion of units in the top fraction and those deemed to be in the top fraction by the r-value procedure. If plot=TRUE, the curve is plotted before the estimated function is returned.
Usage
OverlapCurve(object, plot = TRUE, xlim, ylim, xlab, ylab, main, ...)
Arguments
object |
An object of class "rvals" |
plot |
logical. If TRUE, the estimated overlap curve is plotted. |
xlim , ylim |
x and y - axis limits for the plot |
xlab , ylab |
x and y - axis labels |
main |
the title of the plot |
... |
additional arguments to |
Details
For parameters of interest \theta_1,...,\theta_n
and corresponding
r-values r_1,...,r_n
, the overlap at a particular value of \alpha
is defined to be
overlap(\alpha) = P(\theta_i \ge \theta_\alpha, r_i \le \alpha),
where the threshold \theta_\alpha
is the upper-\alpha
th quantile of
the distribution of the \theta_i
(i.e., P(\theta_i \ge \theta_\alpha) = \alpha
).
OverlapCurve
estimates this overlap
for values of alpha across (0,1) and plots (if plot=TRUE
)
the resulting curve.
Value
A function returning estimated overlap values.
Author(s)
Nicholas Henderson and Michael Newton
References
Henderson, N.C. and Newton, M.A. (2016). Making the cut: improved ranking and selection for large-scale inference. J. Royal Statist. Soc. B., 78(4), 781-804. doi: 10.1111/rssb.12131 https://arxiv.org/abs/1312.5776
Examples
n <- 500
theta <- rnorm(n)
ses <- sqrt(rgamma(n,shape=1,scale=1))
XX <- theta + ses*rnorm(n)
dd <- cbind(XX,ses)
rvs <- rvalues(dd, family = gaussian)
OverlapCurve(rvs, cex.main = 1.5)