residuals.jags_analysis: Residuals
In poissonconsulting/jaggernaut: Bayesian Analyses using 'JAGS'

Description Usage Arguments Value See Also

Get residuals with estimates using derived code in a JAGS analysis

## S3 method for class 'jags_analysis'
residuals(object, parm = "residual",
  model_id = default_model_id(object), derived_code = NULL,
  random_effects = NULL, level = "current", estimate = "current",
  data = NULL, ...)

`object`	a jags_analysis object.
`parm`	a character element naming the derived parameter for which the estimates should be calculated by default = "residual"
`model_id`	a count or string specifying the jags model to select.
`derived_code`	a character element defining a block in the JAGS dialect of the BUGS language that defines one or more derived parameters for each row of data. If NULL derived_code is as defined by the JAGS model for which the JAGS analysis was performed.
`random_effects`	a named list which specifies which parameters to treat as random variables. If NULL random is as defined by the JAGS model for which the JAGS analysis was performed.
`level`	a numeric scalar specifying the significance level or a character scalar specifying which mode the level should be taken from. By default the level is as currently specified by `opts_jagr` in the global options.
`estimate`	a character scalar specifying whether the point estimate should be the "mean" or the "median" or a character scalar which mode the level should be taken from. By default the estimate is as currently specified by `opts_jagr` in the global options.
`data`	the dataset for which to calculate the residuals. By default newdata is NULL as the residuals are typically calculated on the original dataset.
`...`	further arguments passed to or from other methods.