A simulated longitudinal dataset containing complete environmental exposure profiles and an overdispersed count disease outcome. The dataset is intended for demonstrating quadratic-variance negative-binomial models in EpiExposure.
Format
A data frame with rows representing temporal observations within epidemic exposure profiles and the following variables:
- epi_id
Unique numeric identifier for each epidemic.
- block
Experimental block identifier.
- time
Chronological time index within each epidemic profile.
- tmean
Daily mean temperature in degrees Celsius.
- wetness
Daily leaf wetness duration in hours.
- rain
Daily rainfall in millimeters.
- y
Non-negative count disease outcome repeated across the rows of each epidemic profile.
Details
The response is repeated across the temporal rows belonging to the same epidemic because each complete exposure profile is associated with one final epidemic-level disease outcome.
Examples
data("nb2_data", package = "EpiExposure")
head(nb2_data)
#> epi_id block time tmean wetness rain y
#> 1 1 B01 0 28.51652 3.304398 9.234377 7
#> 2 1 B01 1 25.78990 5.600390 19.225955 7
#> 3 1 B01 2 26.86089 7.060567 0.000000 7
#> 4 1 B01 3 25.19746 5.064939 8.700396 7
#> 5 1 B01 4 25.80954 5.634410 0.000000 7
#> 6 1 B01 5 25.28982 6.813331 5.096005 7