get_fourier_seasonality_fit: Generate weekly fluctuations in mortality based on fit...
In njhenry/covidemr: Tools for Mapping COVID Excess Mortality
Description
Usage
Arguments
Value
Description
This function takes fit coefficients for 'sin(.)' and 'cos(.)'
from fourier analysis in TMB and returns the fitted estimates of
seasonality for each week.
Usage
1
get_fourier_seasonality_fit(fourier_coefs)
Arguments
fourier_coefs
A matrix with 2 * N rows, where N is the level of
harmonics used to fit seasonality. The first of each pair of terms is the
coefficient on 'sin(f(x))', and the second is the coeffient on 'cos(f(x))',
where 'f(x) = (level) * (yearly harmonic frequency) * (week)'. Each column represents
one posterior draw of the same parameter
Value
Matrix with 52 rows (corrected number of weeks in a modeled year) and the same
number of columns as 'fourier_coefs', with seasonality fit for each week and draw
njhenry/covidemr documentation built on Feb. 2, 2022, 2:31 a.m.
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Description Usage Arguments Value
Description
This function takes fit coefficients for 'sin(.)' and 'cos(.)' from fourier analysis in TMB and returns the fitted estimates of seasonality for each week.
Usage
1 | get_fourier_seasonality_fit(fourier_coefs)
|
Arguments
fourier_coefs |
A matrix with 2 * N rows, where N is the level of harmonics used to fit seasonality. The first of each pair of terms is the coefficient on 'sin(f(x))', and the second is the coeffient on 'cos(f(x))', where 'f(x) = (level) * (yearly harmonic frequency) * (week)'. Each column represents one posterior draw of the same parameter |
Value
Matrix with 52 rows (corrected number of weeks in a modeled year) and the same number of columns as 'fourier_coefs', with seasonality fit for each week and draw
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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