genBinomialSemiparametricBootSamples: Generate Binomial semiparametric bootstrap samples
In StMoMo: Stochastic Mortality Modelling
Description
Usage
Arguments
Value
References
View source: R/bootstrapfitStMoMo.R
Description
Generate Binomial semiparametric bootstrap samples using a suitable
adaptation of the Poisson procedure described in Brouhns et al (2005).
Usage
1
genBinomialSemiparametricBootSamples(D, E, nBoot)
Arguments
D
matrix of deaths
E
matrix of exposures
nBoot
number of bootstrap samples to produce.
Value
a list of length nBoot of matrices with sampled deaths
References
Brouhns, N., Denuit M., & Van Keilegom, I. (2005). Bootstrapping the
Poisson log-bilinear model for mortality forecasting.
Scandinavian Actuarial Journal, 2005(3), 212-224.
StMoMo documentation built on May 2, 2019, 11:42 a.m.
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Description Usage Arguments Value References
View source: R/bootstrapfitStMoMo.R
Description
Generate Binomial semiparametric bootstrap samples using a suitable adaptation of the Poisson procedure described in Brouhns et al (2005).
Usage
1 | genBinomialSemiparametricBootSamples(D, E, nBoot)
|
Arguments
D |
matrix of deaths |
E |
matrix of exposures |
nBoot |
number of bootstrap samples to produce. |
Value
a list of length nBoot of matrices with sampled deaths
References
Brouhns, N., Denuit M., & Van Keilegom, I. (2005). Bootstrapping the Poisson log-bilinear model for mortality forecasting. Scandinavian Actuarial Journal, 2005(3), 212-224.
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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