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Constructor methods for inlabru component lists. Syntax details are given in component().

Usage

component_list(object, lhoods = NULL, .envir = parent.frame(), ...)

# S3 method for class 'formula'
component_list(object, lhoods = NULL, .envir = parent.frame(), ...)

# S3 method for class 'list'
component_list(object, lhoods = NULL, .envir = parent.frame(), ...)

# S3 method for class 'component_list'
c(...)

# S3 method for class 'component'
c(...)

# S3 method for class 'component_list'
x[i]

Arguments

object

The object to operate on

lhoods

A bru_like_list object

.envir

An evaluation environment for non-formula input

...

Parameters passed on to other methods. Also see Details.

x

component_list object from which to extract a sub-list

i

indices specifying elements to extract

Methods (by class)

  • component_list(formula): Convert a component formula into a component_list object

  • component_list(list): Combine a list of components and/or component formulas into a component_list object

Methods (by generic)

  • c(component_list): The ... arguments should be component_list objects. The environment from the first argument will be applied to the resulting component_list.

Functions

  • c(component): The ... arguments should be component objects. The environment from the first argument will be applied to the resulting “component_list`.

See also

Other component constructors: component()

Other component constructors: component()

Author

Fabian E. Bachl bachlfab@gmail.com and Finn Lindgren finn.lindgren@gmail.com

Examples

# As an example, let us create a linear component. Here, the component is
# called "myLinearEffectOfX" while the covariate the component acts on is
# called "x". Note that a list of components is returned because the
# formula may define multiple components

eff <- component_list(~ myLinearEffectOfX(main = x, model = "linear"))
summary(eff[[1]])
#> Label:	myLinearEffectOfX
#>   Type:	main = linear, group = exchangeable, replicate = iid
#>   Input:	main = x, group = 1L, replicate = 1L, NULL
#>   Map: Not yet initialised
#>   INLA formula:	
#>     ~ . + f(myLinearEffectOfX, model =
#>       BRU_myLinearEffectOfX_main_model)
# Equivalent shortcuts:
eff <- component_list(~ myLinearEffectOfX(x, model = "linear"))
eff <- component_list(~ myLinearEffectOfX(x))
# Individual component
eff <- component("myLinearEffectOfX", main = x, model = "linear")