rsglmm_inla: Restricted Spatial Generalized Linear Mixed model in INLA

In DouglasMesquita/RASCO: An R Package to Alleviate Spatial Confounding

Restricted Spatial Generalized Linear Mixed model in INLA

Description

Fit a Restricted Spatial Generalized Linear Mixed model using INLA

Usage

rsglmm_inla(
  data,
  formula,
  family,
  E = NULL,
  n = NULL,
  proj = "none",
  nsamp = 1000,
  ...
)

Arguments

data	a data frame or list containing the variables in the model.
formula	an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
family	some current options are: "gaussian", "poisson" and "binomial"; the choice depending on the approach.
E	known component, in the mean for the Poisson likelihoods defined as E = exp(η), where η is the linear predictor. Default = 1
n	a vector containing the number of trials for the binomial likelihood, or the number of required successes for the nbinomial2 likelihood. Default value is set to 1..
proj	"none", "rhz" or "spock"
nsamp	number of samples. Default = 1000.
...	other parameters used in ?INLA::inla

Value

$unrestricted	A list containing $sample: a sample of size nsamp for all parameters in the model $summary_fixed: summary measures for the coefficients $summary_hyperpar: summary measures for hyperparameters $summary_random: summary measures for random quantities
$restricted	A list containing $sample: a sample of size nsamp for all parameters in the model $summary_fixed: summary measures for the coefficients $summary_hyperpar: summary measures for hyperparameters $summary_random: summary measures for random quantities
$out	INLA output
$time	time elapsed for fitting the model

DouglasMesquita/RASCO documentation built on Nov. 16, 2022, 9:42 p.m.