| confint.SCREENING | R Documentation |
Computes peer-bootstrap sensitivity intervals for one of the peer performance
ratios (\hat\pi^+, \hat\pi^0, or \hat\pi^-) of a
SCREENING object, by a nonparametric peer (pairwise) bootstrap: for
each focal fund its peers are resampled with replacement and the ratio is
recomputed from the stored pairwise p-values and test statistics. The
interval therefore reflects the peer-composition and aggregation uncertainty,
holding the individual pairwise test statistics and the selected
\lambda fixed. It does not include return-sampling or
\lambda-selection uncertainty and should not be interpreted as a
confidence interval with nominal coverage for the underlying population ratio.
## S3 method for class 'SCREENING'
confint(
object,
parm = c("pipos", "pizero", "pineg"),
level = 0.95,
...,
nBoot = 499L,
gammaPos = NULL,
gammaNeg = NULL
)
object |
A |
parm |
Which ratio to bound: |
level |
Central peer-bootstrap interval level. Default: |
... |
Unused. |
nBoot |
Number of bootstrap resamples. Default: |
gammaPos, gammaNeg |
One-sided thresholds used to recompute the ratios
(should match those of the original screening). By default, the values are
taken from |
A matrix with one row per fund and two columns (lower and upper
bounds); the point estimate is attached as attribute "estimate".
David Ardia and Kris Boudt.
alphaScreening.
data("hfdata")
set.seed(1234)
sc <- alphaScreening(hfdata[, 1:15], control = list(nCore = 1))
confint(sc, parm = "pipos")
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