sample_rt_error: Bootstrap Rt Estimates Using Past Errors
In jesse-smith/covidModel: COVID-19 Modeling Tools for Shelby County Health Department
Description
Usage
Arguments
Value
Description
sample_rt_error() performs weighted sampling of past errors in the mean
and coefficient of variation in Rt estimates using the weights from
weight_rt_error(). It converts
these estimates to shape and rate parameters for summary.
Usage
1
sample_rt_error(.data, n = 10000)
Arguments
.data
The output of weight_rt_error()
n
The number of samples to take from each horizon
Value
A tibble of shape and rate estimates
jesse-smith/covidModel documentation built on Feb. 21, 2022, 3:23 p.m.
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Description Usage Arguments Value
Description
sample_rt_error() performs weighted sampling of past errors in the mean
and coefficient of variation in Rt estimates using the weights from
weight_rt_error(). It converts
these estimates to shape and rate parameters for summary.
Usage
1 | sample_rt_error(.data, n = 10000)
|
Arguments
.data |
The output of |
n |
The number of samples to take from each horizon |
Value
A tibble of shape and rate estimates
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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