preprocess_reg_data_for_GPthingy_stan: Preprocess state level flu data and set up a data object to...
In reichlab/cdcfluutils: Utility functions for CDC flu forecasts for team Kernel of Truth
Description
Usage
Arguments
Value
View source: R/GPthingy-utils.R
Description
Preprocess state level flu data and set up a data object to pass to stan
Usage
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preprocess_reg_data_for_GPthingy_stan(us_flu, seasons, predict_season,
predict_last_obs_season_week, return_extras = FALSE,
knot_limits = c(1, 53L), DX = 10, get_all_region_seasons = FALSE,
pred_all_t = FALSE)
Arguments
us_flu
data frame of regional and national flu observations
seasons
character vector of seasons to include in "2014/2015" format
predict_season
which season are we generating predictions for
predict_last_obs_season_week
integer season week from which to predict
return_extras
boolean, default FALSE: return extra things not needed for
stan, but that might be helpful for other things (like making plots)
Value
list object with data for stan
reichlab/cdcfluutils documentation built on March 12, 2020, 2:49 p.m.
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Description Usage Arguments Value
View source: R/GPthingy-utils.R
Description
Preprocess state level flu data and set up a data object to pass to stan
Usage
1 2 3 4 | preprocess_reg_data_for_GPthingy_stan(us_flu, seasons, predict_season,
predict_last_obs_season_week, return_extras = FALSE,
knot_limits = c(1, 53L), DX = 10, get_all_region_seasons = FALSE,
pred_all_t = FALSE)
|
Arguments
us_flu |
data frame of regional and national flu observations |
seasons |
character vector of seasons to include in "2014/2015" format |
predict_season |
which season are we generating predictions for |
predict_last_obs_season_week |
integer season week from which to predict |
return_extras |
boolean, default FALSE: return extra things not needed for stan, but that might be helpful for other things (like making plots) |
Value
list object with data for stan
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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