bspConfint: Finds approximate (simulated) confidence intervals for the...
In jntrcs/BnpSysRel: Bayesian Non-Parametric Estimates of System Reliability
Description
Usage
Arguments
Value
Note
Examples
Description
Finds approximate (simulated) confidence intervals for the percent failed
at a given time
Usage
1
bspConfint(bsp, times, conf.level = 0.05)
Arguments
bsp
The bsp object
times
Place where you would like confidence intervals
conf.level
Alpha level for confidence (default .05)
Value
A 2xlength(times) matrix with upper and lower bounds of the confidence interval
Note
If you intend to call this function multiple times on the same object,
calling bsp$Samples<-bspSampling(bsp) before bspConfint
will increase performance.
Examples
1
2
jntrcs/BnpSysRel documentation built on May 16, 2019, 9:09 p.m.
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Description Usage Arguments Value Note Examples
Description
Finds approximate (simulated) confidence intervals for the percent failed at a given time
Usage
1 | bspConfint(bsp, times, conf.level = 0.05)
|
Arguments
bsp |
The bsp object |
times |
Place where you would like confidence intervals |
conf.level |
Alpha level for confidence (default .05) |
Value
A 2xlength(times) matrix with upper and lower bounds of the confidence interval
Note
If you intend to call this function multiple times on the same object, calling bsp$Samples<-bspSampling(bsp) before bspConfint will increase performance.
Examples
1 2 |
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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