run_TEP_dpca: Run the DPCA method on the TEP data
In NeymanPearsonFan1/tdpcaTEP: Simulation Study on TEP Data with TDPCA.
Description
This function reproduces the run length results of DPCA on the TEP data.
Results are stored in results/TEP_rl_dpca_<threshold>.txt.
Usage
1
run_TEP_dpca(fault_nr = 1:20, threshold = "analytical")
Arguments
fault_nr
A numeric vector of desired fault numbers between 1 and 20.
threshold
'analytical' or 'val' to determine whether the analytical
thresholds for DPCA should be used, ot thresholds determined by a validation
set.
NeymanPearsonFan1/tdpcaTEP documentation built on June 6, 2019, 7:40 a.m.
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Description
This function reproduces the run length results of DPCA on the TEP data. Results are stored in results/TEP_rl_dpca_<threshold>.txt.
Usage
1 | run_TEP_dpca(fault_nr = 1:20, threshold = "analytical")
|
Arguments
fault_nr |
A numeric vector of desired fault numbers between 1 and 20. |
threshold |
'analytical' or 'val' to determine whether the analytical thresholds for DPCA should be used, ot thresholds determined by a validation set. |
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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