crit_varQ: Future quantile variance
In vpicheny/quantile: Quantile estimation
Usage
Arguments
Value
Author(s)
References
Examples
Usage
1
Arguments
xnew
the new point
model
object of class km
data.x
data related to x
x
integration points
alpha
quantile level
beta
a threshold
Value
the criterion
Author(s)
Victor Picheny
References
T. Labopin-Richard, V. Picheny, "Sequential design of experiments for estimating quantiles of black-box functions",
Statistica Sinica, 2017, doi:10.5705/ss.202016.0160
Examples
1
2
3
4
## Not run:
compute_crit(xnew, model, data.x, x, alpha, beta=4)
## End(Not run)
vpicheny/quantile documentation built on June 30, 2018, 12:03 a.m.
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Usage Arguments Value Author(s) References Examples
Usage
1 |
Arguments
xnew |
the new point |
model |
object of class km |
data.x |
data related to x |
x |
integration points |
alpha |
quantile level |
beta |
a threshold |
Value
the criterion
Author(s)
Victor Picheny
References
T. Labopin-Richard, V. Picheny, "Sequential design of experiments for estimating quantiles of black-box functions", Statistica Sinica, 2017, doi:10.5705/ss.202016.0160
Examples
1 2 3 4 | ## Not run:
compute_crit(xnew, model, data.x, x, alpha, beta=4)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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