repYeb {geoCount} | R Documentation |
This function generates replicated data sets based on estimated parameters (given or from posterior samples).
repYeb(N.sim, loc, L, X = NULL, rho.family = "rhoPowerExp", Y.family="Poisson", res.m = NULL, est = "mode", beta = NULL, sigma = NULL, phi = NULL, k = 1)
N.sim |
the number of replicated data sets to be simulated |
loc |
a n \times 2 matrix which indicates the coordinates of observed locations |
L |
a vector of length n; it indicates the time duration during which the Poisson counts are accumulated, or the total number of trials for Binomial response |
X |
a n \times p covariate matrix; the default value "NULL" indicates no covariate |
rho.family |
take the value of |
Y.family |
take the value of |
res.m |
a list with elements containing the posterior samples of latent variables and parameters for observed locations |
est |
take the value of |
beta |
a value which indicates the estimation for β; ignored if "res.m" is given |
sigma |
a value which indicates the estimation for σ; ignored if "res.m" is given |
phi |
a value which indicates the estimation for φ; ignored if "res.m" is given |
k |
a value which indicates the estimation for κ; ignored if "res.m" is given and contains the posterior samples for κ |
A n \times N.sim matrix of replicated data sets.
Liang Jing ljing918@gmail.com
## Not run: # Estimate parameters from posterior samples Yrep.eb <- repYeb(N.sim=2000, loc, L, res.m, est = "mode") # Pre-determined parameters (also an efficient way to simulate massive data sets) Yrep.eb <- repYeb(N.sim=2000, loc, L, beta = 5, sigma = 1, phi = 0.1, k = 1) ## End(Not run)