imputeINLA: impute missing data using multiple imputation

In ThierryO/multimput: Using Multiple Imputation to Address Missing Data

Description

impute missing data using multiple imputation

Usage

imputeINLA(data, formula = Observed ~ Year + Month + f(Site, model = "iid"),
  n.sim = 499, family = c("nbinomial", "poisson"))

Arguments

data	a data.frame containing the variables Year, Month, Site and Observed. The missing values of Observed are imputed by the algorithm.
formula	A formula defining the model to use for the imputation
n.sim	the number of simulations
family	"nbinomial" for a negative binomial distribution or "poisson" for a Poisson distribution

Value

A matrix with one row for each missing value. Each column is on imputation.

Note

Deprecated function. Only relevant to run the code in the folder hpc and paper_simulation.

ThierryO/multimput documentation built on May 9, 2019, 4:42 p.m.