draw_posterior_infxn_cubic_splines: Draw posterior results from the Infection Curve (Cubic...
In mrc-ide/COVIDCurve: Inferring the Infection Fatality Ratio from COVID-19 Aggregated Death and Seroprevalence Data
Description
Usage
Arguments
Details
Description
Draw posterior results from the Infection Curve (Cubic Spline)
Usage
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draw_posterior_infxn_cubic_splines(
IFRmodel_inf,
whichrung = "rung1",
dwnsmpl,
by_chain = TRUE,
by_strata = FALSE
)
Arguments
IFRmodel_inf
R6 class; The result of the IFR Model MCMC run along with the model input.
whichrung
character; Specify which rung to sample from (default is rung1)
dwnsmpl
integer; Number of posterior results to draw – weighted by posterior prob
by_chain
logical; Whether or not credible intervals should be reported with respect to individual chains (TRUE) or not.
by_strata
logical; Whether posterior infection curves should be split by strata
Details
Given sampling iterations with posterior-log-likes greater than or equal to a specific threshold, posterior results for the linear spline are generated. Assumed that the spline was fit in "un-transformed" space
mrc-ide/COVIDCurve documentation built on June 2, 2021, 7:37 a.m.
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Description Usage Arguments Details
Description
Draw posterior results from the Infection Curve (Cubic Spline)
Usage
1 2 3 4 5 6 7 | draw_posterior_infxn_cubic_splines(
IFRmodel_inf,
whichrung = "rung1",
dwnsmpl,
by_chain = TRUE,
by_strata = FALSE
)
|
Arguments
IFRmodel_inf |
R6 class; The result of the IFR Model MCMC run along with the model input. |
whichrung |
character; Specify which rung to sample from (default is rung1) |
dwnsmpl |
integer; Number of posterior results to draw – weighted by posterior prob |
by_chain |
logical; Whether or not credible intervals should be reported with respect to individual chains (TRUE) or not. |
by_strata |
logical; Whether posterior infection curves should be split by strata |
Details
Given sampling iterations with posterior-log-likes greater than or equal to a specific threshold, posterior results for the linear spline are generated. Assumed that the spline was fit in "un-transformed" space
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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