computeMeanPredictions: Get predictions (one per simulation) and overall mean...

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

Description

After iteratively predicting the missing values, a mean estimate per observation is calculated by taking the average of the predictions for each simulation at a given iteration. Note that for known values, the mean estimate is simply the actual value associated with that observation (from which the simulated values are derived).

Usage

computeMeanPredictions(model.results, iteration, ors.data.sims)

Arguments

model.results	Results of iterative modeling (output of iterateModel())
iteration	Iteration at which to compute mean estimates; usually, this will be the convergence iteration of model.results
ors.data.sims	Original data augmented with relevant predictors, i.e. all records, including both known and missing estimates, as well as simulated data (output of computeSimulations())

Value

Data frame containing all predictors for each observation, along with simulated values for known estimates, predicted values from each simulation at the specified iteration for missing estimates, and a mean value calculated across all simulations (for known estimates, this is simply the actual value)

See Also

iterateModel()

computeSimulations()

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