bs.se: Performs a parametric bootstrapping standard error...
In StagedChoiceSplineMix: Mixture of Two-Stage Logistic Regressions with Fixed Candidate Knots
Description
Usage
Arguments
See Also
Examples
Description
The function performs a parametric bootstrapping standard error approximation for mixtures of two-stage logistic regressions.
Usage
1
bs.se(output, B = 100)
Arguments
output
output of StagedChoiceSplineMix
B
number of bootstrap samples (def:100)
See Also
Examples
1
2
3
4
5
6
## parametric bootstrapping to calculate standard error:
## use best output from StagedChoiceSplineMix exampl
#out.se<-bs.se(output=out$best, B=100)
#out.se$betab.se
#out.se$betaw.se
#out.se$lambda.se
StagedChoiceSplineMix documentation built on May 1, 2019, 6:35 p.m.
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Description Usage Arguments See Also Examples
Description
The function performs a parametric bootstrapping standard error approximation for mixtures of two-stage logistic regressions.
Usage
1 | bs.se(output, B = 100)
|
Arguments
output |
output of |
B |
number of bootstrap samples (def:100) |
See Also
Examples
1 2 3 4 5 6 | ## parametric bootstrapping to calculate standard error:
## use best output from StagedChoiceSplineMix exampl
#out.se<-bs.se(output=out$best, B=100)
#out.se$betab.se
#out.se$betaw.se
#out.se$lambda.se
|
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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