getCov: Estimation Helper Functions
In marcher: Migration and Range Change Estimation in R
Description
Usage
Arguments
Details
Description
functions which provide the theoretical covariance [getCov()] and area [getArea()] for specific models and parameter values
Usage
1
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.
marcher documentation built on May 2, 2019, 9:44 a.m.
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Description Usage Arguments Details
Description
functions which provide the theoretical covariance [getCov()] and area [getArea()] for specific models and parameter values
Usage
1 | 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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