imputeTruth: impute missing data using multiple imputation

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

Description

impute missing data using multiple imputation

Usage

imputeTruth(data, size, mean = "Mu", respons = "Observed", n.sim = 499)

Arguments

data	a data.frame containing the variables Year, Month, Site and Observed. The missing values of Observed are imputed by the algorithm.
size	the size of the negative binomial distribution
mean	the name of the variable in data, holding the true mean
respons	the name of the variable in data, holding the observed values
n.sim	the number of simulations

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.