weight_rt_error: Calculate Geometrically Decaying Weights for Rt Sampling
In jesse-smith/covidModel: COVID-19 Modeling Tools for Shelby County Health Department
Description
Usage
Arguments
Value
See Also
Description
weight_rt_error() assigns weights according to a geometric decay curve
parameterized by the length of time from the current timepoint and the
first-order autoregressive coefficient, which is a measure of geometric
dependence in the absence of other modeling terms. This function is used
internally by boost_rt().
Usage
1
weight_rt_error(.data)
Arguments
.data
The result of reduce_rt_error()
Value
The input with a wt column containing sampling weights
See Also
Other internal:
bind_boosted_rt(),
boost_rt(),
cv_rt(),
reduce_rt_error(),
summarize_rt_error(),
validate_rt()
jesse-smith/covidModel documentation built on Feb. 21, 2022, 3:23 p.m.
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Description Usage Arguments Value See Also
Description
weight_rt_error() assigns weights according to a geometric decay curve
parameterized by the length of time from the current timepoint and the
first-order autoregressive coefficient, which is a measure of geometric
dependence in the absence of other modeling terms. This function is used
internally by boost_rt().
Usage
1 | weight_rt_error(.data)
|
Arguments
.data |
The result of |
Value
The input with a wt column containing sampling weights
See Also
Other internal:
bind_boosted_rt(),
boost_rt(),
cv_rt(),
reduce_rt_error(),
summarize_rt_error(),
validate_rt()
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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