panelGompertz {panelPomp} | R Documentation |
Builds a collection of independent realizations from the Gompertz model.
panelGompertz(
N = 100,
U = 50,
params = c(K = 1, r = 0.1, sigma = 0.1, tau = 0.1, X.0 = 1),
seed = 12345678
)
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. |
A panelPomp
object.
Edward L. Ionides, Carles Bretó
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.
Other panelPomp examples:
contacts()
,
panelRandomWalk()
panelGompertz()