imputeUnderhill: impute missing data

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

Description

impute missing data

Usage

imputeUnderhill(data, formula = Observed ~ Year + Month + Site, initial = 0,
  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
initial	the initial value by which the missing values are replaced
family	"nbinomial" for a negative binomial distribution or "poisson" for a Poisson distribution

Value

A list with two elements: data with imputed values and iterations which is the number of iterations

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.