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tests/KDSNestimation_tests_robust_standard.R
In kernDeepStackNet: Kernel Deep Stacking Networks
# Test function robust_standard
library(kernDeepStackNet)
set.seed(100)
randomNumbers <- rnorm(100000)
matTest <- matrix(randomNumbers, nrow=100000, ncol=1)
matRobust <- (matTest-0) / qnorm(0.75)
resMat <- robustStandard(matTest)
stopifnot(all(abs(resMat-matRobust)<0.1))
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kernDeepStackNet documentation built on May 2, 2019, 8:16 a.m.
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# Test function robust_standard
library(kernDeepStackNet)
set.seed(100)
randomNumbers <- rnorm(100000)
matTest <- matrix(randomNumbers, nrow=100000, ncol=1)
matRobust <- (matTest-0) / qnorm(0.75)
resMat <- robustStandard(matTest)
stopifnot(all(abs(resMat-matRobust)<0.1))
Try the kernDeepStackNet package in your browser
Any scripts or data that you put into this service are public.
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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