| endemic_channel {epiCo} | R Documentation | 
Create and return the endemic channel of a disease from an incidence object
Description
Function that builds the endemic channel of a disease time series based on the selected method and windows of observation
Usage
endemic_channel(
  incidence_historic,
  observations = NULL,
  method = c("geometric", "median", "mean", "unusual_behavior"),
  geometric_method = "shifted",
  outlier_years = NULL,
  outliers_handling = c("ignored", "included", "replaced_by_median", "replaced_by_mean",
    "replaced_by_geometric_mean"),
  ci = 0.95,
  plot = FALSE,
  language = c("EN", "ES")
)
Arguments
| incidence_historic | An incidence object with the historic weekly observations | 
| observations | A numeric vector with the current observations | 
| method | A string with the mean calculation method of preference (median, mean, or geometric) or to use the unusual behavior method (Poisson Distribution Test for Hypoendemic settings) | 
| geometric_method | A string with the selected method for geometric mean calculation; see: geometric_mean | 
| outlier_years | A numeric vector with the outlier years | 
| outliers_handling | A string with the handling decision regarding outlier years, see: outliers_handling function | 
| ci | = 0.95 A numeric value to specify the confidence interval to use with the geometric method | 
| plot | A boolean for displaying a plot | 
| language | Language for plot components | 
Value
A dataframe with the observation, historical mean, and confidence intervals (or risk areas)
Examples
data_event <- epiCo::epi_data
data_ibague <- data_event[data_event$cod_mun_o == 73001, ]
incidence_historic <- incidence::incidence(data_ibague$fec_not,
  interval = "1 epiweek"
)
endemic_channel(incidence_historic,
  method = "geometric", plot = TRUE
)