
Output of a poisson model simulation with a smooth function for $R_t$ defined as R(t) = e^(sin(t/80*pi)^4-0.25))
. This is a relatively unchallenging test data set that should not pose a problem for smooth estimators.
Source: R/data.R
test_poisson_rt_smooth.Rd
This is generated using the central value of the test_ip
infectivity profile
Usage
data(test_poisson_rt_smooth)
Format
A dataframe containing the following columns:
time (as.time_period) - the time column
rt (numeric) - the time varying rt column (parameters)
imports (numeric) - the imports column
rate (numeric) - the poisson rate column (underlying infection rate)
count (integer) - the count column
statistic (character) - the statistic column
Minimally grouped by: statistic (and other groupings allowed).
161 rows and 6 columns