computeSimulations: Generate simulated data

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

Rather than simply running the models on the original data, we created simulations for each record to generate 10 unique datasets, where each (simulated) estimate was drawn from a beta distribution derived from the original data (mean and error estimates). This allows for generating a family of models and a distribution of imputed values for each missing estimate, rather than a single point estimate. This distribution can be used to calculate a confidence level for each imputed value.

Usage

computeSimulations(df)

Arguments

df	Data augmented with relevant predictors and default modeling weights (output of setDefaultModelingWeights())

Value

Original input, with simulated data appended

See Also

stdErrMC()

setDefaultModelingWeights()

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.