BootstrapKStest: BootstrapKStest
In sipemu/Nonparametric-Functional-Data-Analysis: Nonparametric Functional Data Analysis
Description
Usage
Arguments
Value
Author(s)
References
Description
BootstrapKStest is a function that calculates the optimal parameter of
the two-point distribution based on the Kolmogorov-Smirnov-Test.
Usage
1
BootstrapKStest(Residuals, NB = 100, grid = 10)
Arguments
Residuals
Y.learn - Y.lern.hat
NB
Number of bootstrap samples
grid
Size of the grid
Value
W n x NB-Matrix of bootstrapped residuals.
Author(s)
Simon Mueller simon.mueller@mathematik.uni-stuttgart.de
References
Davidson, J., Monticini, A., and Peel, D. Implementing the wild
bootstrap using a two-point distribution. Economics Letters, Vol. 96,
No. 3. (2007), pp. 309-315.
sipemu/Nonparametric-Functional-Data-Analysis documentation built on May 29, 2019, 10:10 p.m.
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Description Usage Arguments Value Author(s) References
Description
BootstrapKStest is a function that calculates the optimal parameter of
the two-point distribution based on the Kolmogorov-Smirnov-Test.
Usage
1 | BootstrapKStest(Residuals, NB = 100, grid = 10)
|
Arguments
Residuals |
Y.learn - Y.lern.hat |
NB |
Number of bootstrap samples |
grid |
Size of the grid |
Value
W n x NB-Matrix of bootstrapped residuals.
Author(s)
Simon Mueller simon.mueller@mathematik.uni-stuttgart.de
References
Davidson, J., Monticini, A., and Peel, D. Implementing the wild bootstrap using a two-point distribution. Economics Letters, Vol. 96, No. 3. (2007), pp. 309-315.
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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