negbin_series {bssm} | R Documentation |
Simulated Negative Binomial Time Series Data
Description
See example for code for reproducing the data. This was used in Helske and Vihola (2021).
Format
A time series mts
object with 200 time points and two series.
References
Helske J, Vihola M (2021). bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R. The R Journal (2021) 13:2, 578-589. https://doi.org/10.32614/RJ-2021-103
See Also
negbin_model
Examples
# The data was generated as follows:
set.seed(123)
n <- 200
sd_level <- 0.1
drift <- 0.01
beta <- -0.9
phi <- 5
level <- cumsum(c(5, drift + rnorm(n - 1, sd = sd_level)))
x <- 3 + (1:n) * drift + sin(1:n + runif(n, -1, 1))
y <- rnbinom(n, size = phi, mu = exp(beta * x + level))
[Package bssm version 2.0.2 Index]