| panelGompertz {panelPomp} | R Documentation |
Panel Gompertz model
Description
Builds a collection of independent realizations from the Gompertz model.
Usage
panelGompertz(
N = 100,
U = 50,
params = c(K = 1, r = 0.1, sigma = 0.1, tau = 0.1, X.0 = 1),
seed = 12345678
)
Arguments
N |
number of observations for each unit. |
U |
number of units. |
params |
parameter vector, assuming all units have the same parameters. |
seed |
passed to the random number generator for simulation. |
Value
A panelPomp object.
Author(s)
Edward L. Ionides, Carles Bretó
References
Bretó, C., Ionides, E. L. and King, A. A. (2020) Panel Data Analysis via Mechanistic Models. Journal of the American Statistical Association, 115(531), 1178–1188. doi:10.1080/01621459.2019.1604367
King, A. A., Nguyen, D. and Ionides, E. L. (2016) Statistical inference for partially observed Markov processes via the package pomp. Journal of Statistical Software 69(12), 1–43. DOI: 10.18637/jss.v069.i12. An updated version of this paper is available on the package website.
See Also
Other panelPomp examples:
contacts(),
panelRandomWalk()
Examples
panelGompertz()