Description Usage Arguments Value Author(s) References Examples
Generating data from COST DGP, assuming Markov process of order one
1 | Data.COST(n,n.total,seed1,coord,par.t)
|
n |
number of time points for parameter estimation |
n.total |
number of total time points, with a burning sequence |
seed1 |
random seed to generate a data set, for reproducibility |
coord |
coordinates of the locations |
par.t |
the true copula parameters |
Y.all |
data from all locations and time points, may include data at time point n+1, or data from new locations |
mean.true |
true conditional mean of observed locations at time point n+1 |
Yanlin Tang, Huixia Judy Wang
Yanlin Tang, Huixia Judy Wang, Ying Sun, Amanda Hering. Copula-based semiparametric models for spatio-temporal data.
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