R: (Deprecated) ARMA(p,q) correlation structure

cor_arma {brms} | R Documentation

## (Deprecated) ARMA(p,q) correlation structure

### Description

This function is deprecated. Please see `arma` for the new syntax. 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 correlation structure is assumed to apply only to observations within the same grouping level; observations with different grouping levels are assumed to be uncorrelated. Defaults to `~ 1`, which corresponds to using the order of the observations in the data as a covariate, and no groups.
`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` | No longer supported.
`cov` | A flag indicating whether ARMA effects should be estimated by means of residual covariance matrices. This is currently only possible for stationary ARMA effects of order 1. If the model family does not have natural residuals, latent residuals are added automatically. If `FALSE` (the default) a regression formulation is used that is considerably faster and allows for ARMA effects of order higher than 1 but is only available for `gaussian` models and some of its generalizations.

### Value

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

### See Also

`cor_ar`, `cor_ma`

### Examples

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

[Package brms version 2.16.3 Index]