predict_region_kde: Wrapper for prediction and evaluation of KDE fits
In reichlab/cdcfluutils: Utility functions for CDC flu forecasts for team Kernel of Truth
Description
Usage
Arguments
Value
Description
The function follows this outline
determine set of years for which LOSO fits are available
For those years, generate predictions made at each season-week.
These will be the same predictions repeated, as models not dependent on any inputs.
Compare predictions to the real data
Save object with comparisons
Usage
1
predict_region_kde(data, region, path, n_sim)
Arguments
data
data, to be used for evaluation
region
region of focus
path
filepath to fitted models
n_sim
number of simulations to run for predictive distributions
Value
NULL just saves a file
reichlab/cdcfluutils documentation built on March 12, 2020, 2:49 p.m.
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Description Usage Arguments Value
Description
The function follows this outline
determine set of years for which LOSO fits are available
For those years, generate predictions made at each season-week. These will be the same predictions repeated, as models not dependent on any inputs.
Compare predictions to the real data
Save object with comparisons
Usage
1 | predict_region_kde(data, region, path, n_sim)
|
Arguments
data |
data, to be used for evaluation |
region |
region of focus |
path |
filepath to fitted models |
n_sim |
number of simulations to run for predictive distributions |
Value
NULL just saves a file
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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