cv_rt: Apply Rolling Cross-Validation to Rt Calculations Given...

In jesse-smith/covidModel: COVID-19 Modeling Tools for Shelby County Health Department

Description

cv_rt() computes the reproduction number for each sample in the results of cv_linelist_decomposition() .

Usage

cv_rt(.data, .ref, .t, serial_interval_mean, serial_interval_sd, half_trend)

Arguments

.data	The cross-validation results from cv_linelist_decomposition()
.ref	Reference Rt
.t	The quoted name of a date column corresponding to the observations in incid
serial_interval_mean	The average number of days between infection of a primary case and a secondary case
serial_interval_sd	The standard deviation of the number of days between infection of a primary case and a secondary case
half_trend	The portion of the trend conditional on future data

Value

A list of tibbles with Rt estimates and associated errors

See Also

Other internal: bind_boosted_rt(), boost_rt(), reduce_rt_error(), summarize_rt_error(), validate_rt(), weight_rt_error()

jesse-smith/covidModel documentation built on Feb. 21, 2022, 3:23 p.m.