get_h1_seasonality: Get Haiti 1 Seasonality
In zjiang2/haitipkg: R Package for Haiti Article
View source: R/get_h1_seasonality.R
get_h1_seasonality R Documentation
Get Haiti 1 Seasonality
Description
This function takes as input a pomp representation of Model 1 that contains
estimated parameter values, and returns a data.frame object with the
estimated seasonality over time.
Usage
get_h1_seasonality(mod1, times = 431:800)
Arguments
mod1
a pomp object representing Model 1. It must contain parameters.
times
a vector containing the weeks that will be used to estimate
the seasonality. By default, this is chosen as 431:800, which starts the
week after available training data and covers at least the entirety of
the following year. In this case, the linear trend in beta ends after the
available training data.
Value
data.frame containing three columns: (1) week, which is week number
corresponding to the measurement time (2) date, which is the date of the
measurement and (3) trans_std, which contains the value of the Model 1
seasonality component.
zjiang2/haitipkg documentation built on March 1, 2024, 11:34 p.m.
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View source: R/get_h1_seasonality.R
| get_h1_seasonality | R Documentation |
Get Haiti 1 Seasonality
Description
This function takes as input a pomp representation of Model 1 that contains estimated parameter values, and returns a data.frame object with the estimated seasonality over time.
Usage
get_h1_seasonality(mod1, times = 431:800)
Arguments
mod1 |
a pomp object representing Model 1. It must contain parameters. |
times |
a vector containing the weeks that will be used to estimate the seasonality. By default, this is chosen as 431:800, which starts the week after available training data and covers at least the entirety of the following year. In this case, the linear trend in beta ends after the available training data. |
Value
data.frame containing three columns: (1) week, which is week number corresponding to the measurement time (2) date, which is the date of the measurement and (3) trans_std, which contains the value of the Model 1 seasonality component.
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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