| cor_arma {brms} | R Documentation |
This functions is a constructor for the cor_arma class, representing
an autoregression-moving average correlation structure of order (p, q).
cor_arma(formula = ~1, p = 0, q = 0, r = 0, cov = FALSE)
formula |
A one sided formula of the form |
p |
A non-negative integer specifying the autoregressive (AR) order of the ARMA structure. Default is 0. |
q |
A non-negative integer specifying the moving average (MA) order of the ARMA structure. Default is 0. |
r |
A non-negative integer specifying the autoregressive response (ARR) order. See 'Details' for differences of AR and ARR effects. Default is 0. |
cov |
A flag indicating whether ARMA effects should be estimated
by means of residual covariance matrices
(currently only possible for stationary ARMA effects of order 1).
If |
AR refers to autoregressive effects of residuals, which is what is typically understood as autoregressive effects. However, one may also model autoregressive effects of the response variable, which is called ARR in brms.
An object of class cor_arma, representing an
autoregression-moving-average correlation structure.
Paul-Christian Buerkner paul.buerkner@gmail.com
cor_arma(~visit|patient, p = 2, q = 2)