| incidence_to_df {incidental} | R Documentation | 
Export incidence model to data frame
Description
Export the output of fit_incidence to a data frame with an optional
addition of a time index.
Usage
incidence_to_df(x, times = NULL, low_quantile = 0.05, high_quantile = 0.95)
Arguments
| x | An "incidence_spline_model" output from  | 
| times | An optional vector of time indices. | 
| low_quantile | A scalar that specifies the low quantile value for the output CI. | 
| high_quantile | A scalar that specifies the high quantile value for the output CI. | 
Value
A data frame with the following entries:
- Time – a time index; if 'ts' is 'NULL' it is the observation number; 
- Reported – the value of 'reported'; 
- Ihat – MAP incidence curve estimate; 
- Chat – expected cases given MAP incidence curve estimate; 
- LowCI – lower pointwise credible interval bands around the incidence curve; and 
- HighCI – higher pointwise credible interval bands around the incidence curve. 
Examples
indiana_model <- fit_incidence(
                  reported = spanish_flu$Indiana, 
                  delay_dist = spanish_flu_delay_dist$proportion)
 indiana_df <- incidence_to_df(indiana_model, times = spanish_flu$Date)
[Package incidental version 0.1 Index]