inst/doc/component.R

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  dev = "png",
  dev.args = list(type = "cairo-png"),
  fig.width = 7,
  fig.height = 5
)

## ----results="hide",warning=FALSE,message=FALSE,echo=FALSE----------------------------------------
options(width = 100) # sets width of output window

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_component_name(
#    main = ...,
#    model = ...
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_spde_effect(
#    cbind(x, y),
#    model = spde_model
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  get_xy <- function(df) {
#    cbind(df$x, df$y)
#  }
#  ~ my_spde_effect(
#    get_xy(.data.),
#    model = spde_model
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_intercept(1)

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_intercept(
#    main = rep(1, n),
#    model = "linear"
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_sp_effect(
#    main = a_spatial_object,
#    model = "linear"
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  get_sp_covariate <- function(df) {
#    locs <- coordinates(df)
#    over(locs, an_sp_object)[, 1]
#  }
#  
#  ~ my_sp_effect(
#    main = get_sp_covariate(.data.),
#    model = "linear"
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ my_fixed_effects(
#    main = ~ x1:x2 + x3 * x4,
#    model = "fixed"
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  MatrixModels::model.Matrix(~ x1:x2 + x3 * x4, .data.)

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ a_component(
#    main = a_function,
#    model = ...
#  )

## ----eval=FALSE-----------------------------------------------------------------------------------
#  ~ a_component(
#    main = a_function(.data.),
#    model = ...
#  )