brms (version 0.6.0)

cor_arma: ARMA(p,q) correlation structure

Description

This functions is a constructor for the cor_arma class, representing an autoregression-moving average correlation structure of order (p, q).

Usage

cor_arma(formula = ~1, p = 0, q = 0, r = 0, cov = FALSE)

Arguments

formula

A one sided formula of the form ~ t, or ~ t | g, specifying a time covariate t and, optionally, a grouping factor g. A covariate for this correlation structure must be integer valued. When a grouping factor is present in formula, the co

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 FALSE (the default) a regression formulation is used that is conside

Value

• An object of class cor_arma, representing an autoregression-moving-average correlation structure.

Details

As of brms version 0.6.0, the AR structure refers to autoregressive effects of residuals to match the naming and implementation in other packages such as nlme. Previously, the AR term in brms referred to autoregressive effects of the response. The latter are now named ARR effects and can be modeled using argument r in the cor_arma and cor_arr functions.

See Also

cor_ar cor_ma cor_arr

Examples

cor_arma(~visit|patient, p = 2, q = 2)