burnin_after: Apply Burnin to MCMC Samples
In brianconroy/preferential_surveillance: Analysis of Disease Surveillance Data under Preferential Sampling
Description
Usage
Arguments
Value
View source: R/preferentialSampling.R
Description
This function truncates the first n.burn posterior samples of the
output of the preferentialSampling function.
Usage
1
burnin_after(output, n.burn)
Arguments
output
List. Output of the preferentialSampling.
n.burn
Numeric. Number of samples to discard in burnin.
Value
List. Identical to the output of preferentialSampling but with truncated posterior samples.
brianconroy/preferential_surveillance documentation built on Nov. 23, 2021, 5:51 a.m.
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Description Usage Arguments Value
View source: R/preferentialSampling.R
Description
This function truncates the first n.burn posterior samples of the output of the preferentialSampling function.
Usage
1 | burnin_after(output, n.burn)
|
Arguments
output |
List. Output of the preferentialSampling. |
n.burn |
Numeric. Number of samples to discard in burnin. |
Value
List. Identical to the output of preferentialSampling but with truncated posterior samples.
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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