Description Usage Arguments Value Examples
Creates the cross-covariance matrix of an AR(1) process with parameters
rho
and sigma
, observed at (positive) integer times
times1
and times2
, which may be irregularly spaced. The
process is assumed to be in stationarity and to have Gaussian errors.
1 | ar1_cross_cov(times1, times2, rho, sigma)
|
times1 |
An vector of positive integers, preferably ordered. |
times2 |
An vector of positive integers, preferably ordered. |
rho |
A real number strictly less than 1 in absolute value. |
sigma |
A positive real number. |
A matrix with length(times2)
rows and length(times1)
columns.
1 2 3 4 5 | times1 <- c(1, 3, 6)
times2 <- c(2, 4, 8:9)
rho <- 0.5
sigma <- 1
ar1_cross_cov(times1, times2, rho, sigma)
|
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