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marcher (version 0.0-2)
getCov: Estimation Helper Functions
Description
functions which provide the theoretical covariance [getCov()] and area [getArea()] for specific models and parameter values
Usage
getCov(t1, t2, model, p)
Arguments
t1
time 1
t2
time 2
model
the model
p
vector of the auto-correlation parameters i.e. p = c(tau.z, tau.v)
Details
getCov(t1, t2, model, p)
calculates the covariance matrix for different models.
mvrnorm2
is a slightly more efficient multivariate normal function.