eic.srm: EIC for SRM
In SwReliab/gof4srm: Goodness-of-fit tests for NHPP-based software reliability models
Description
Usage
Arguments
Value
Description
Compute EIC for SRM
Usage
1
eic.srm(obj, bsample = 100, alpha = 0.95, initialize = FALSE)
Arguments
obj
An object of an estimated result by Rsrat
bsample
An integer of the number of bootstrap samples
alpha
A value of significant level to obtain confidence interval.
The default is 0.95.
initialize
A logical. If it is TRUE, the parameters are reset by initial guesses.
The default is FALSE.
Value
lower and upper bounds of bias, eic
SwReliab/gof4srm documentation built on Dec. 18, 2021, 3:05 p.m.
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Description Usage Arguments Value
Description
Compute EIC for SRM
Usage
1 | eic.srm(obj, bsample = 100, alpha = 0.95, initialize = FALSE)
|
Arguments
obj |
An object of an estimated result by Rsrat |
bsample |
An integer of the number of bootstrap samples |
alpha |
A value of significant level to obtain confidence interval. The default is 0.95. |
initialize |
A logical. If it is TRUE, the parameters are reset by initial guesses. The default is FALSE. |
Value
lower and upper bounds of bias, eic
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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