validate_rt: Compute Errors for Rt Smoothing

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

Description

validate_rt() calculates Rt and "forecast" errors from a a sample decomposition, a reference decomposition, and decomposition parameters. It is designed to be used as a mapping function passed to map() within cv_decomposition().

Usage

validate_rt(
  .data,
  .ref,
  incid,
  .t,
  serial_interval_mean,
  serial_interval_sd,
  half_trend
)

Arguments

.data	The cross-validation results from cv_linelist_decomposition()
.ref	Reference Rt
incid	The quoted name of a numeric column containing the incidence curve
.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 tibble of rt estimates and associated errors in each summary statistic

See Also

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

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