predict_kde_peak_week: Compute predictive distribution for peak week from KDE fit
In reichlab/adaptively-weighted-ensemble: Adaptively Weighted Ensembles via Stacking
Description
Usage
Arguments
Value
View source: R/kde-prediction-utils.R
Description
Compute predictive distribution for peak week from KDE fit
Usage
1
predict_kde_peak_week(fm, n_sim)
Arguments
fm
output from fit_kde_peak_week()
n_sim
number of draws from predictive distribution to return
Value
vector of 52 probabilities representing the predictive distribution of peak week,
in bins representing season week 1 through 52 (or EW31 through EW30 – or EW29 if a 53 week year)
with the final entry representing the probability of no onset#'
reichlab/adaptively-weighted-ensemble documentation built on May 27, 2019, 4:53 a.m.
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Description Usage Arguments Value
View source: R/kde-prediction-utils.R
Description
Compute predictive distribution for peak week from KDE fit
Usage
1 | predict_kde_peak_week(fm, n_sim)
|
Arguments
fm |
output from fit_kde_peak_week() |
n_sim |
number of draws from predictive distribution to return |
Value
vector of 52 probabilities representing the predictive distribution of peak week, in bins representing season week 1 through 52 (or EW31 through EW30 – or EW29 if a 53 week year) with the final entry representing the probability of no onset#'
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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