Man pages for saharaja/imputeORS
Impute Missing Values in the BLS Occupational Requirements Survey
| blendImputations | Blend model results according to calculated proportions |
| checkSums | Compute sums of occupational groups |
| computeBlendingRatio | Compute model blending ratio from k-folds CV results |
| computeCIs | Calculate confidence intervals for final predictions (missing... |
| computeConvergence | Compute convergence iteration of k-folds CV models |
| computeEVs | Compute expected values for each observation |
| computeMeanPredictions | Get predictions (one per simulation) and overall mean... |
| computeModelUncertainty | Approximate uncertainty contributed by models (using the... |
| computeOverlap | Compute overlap score between two jobs, and generate plot |
| computeSimulations | Generate simulated data |
| computeStdEVdiff | Calculate differences in standardized EVs between two jobs,... |
| correlationPlot | Compute correlation of ELEs, and plot relevant heatmap... |
| dataCorrections | Make corrections to data during preprocessing |
| errorsAndBounding | Assign errors to known mean estimates, and bounds for all... |
| estBetaParams | Estimate beta distribution parameters |
| fillMissingObservations | Generate missing observations |
| fillNminusOneGroups | Calculate mean estimates for N-1 groups |
| getErrors | Get standard error estimates |
| getMeanEstimates | Get mean estimates |
| getORS | Get raw ORS data from BLS |
| getPredictors | Populate predictors based on data mapping |
| getTestFoldData | Collate predictions for all 10 test folds from k-folds CV,... |
| getTestSetData | Collate predictions for each iteration for the train-test... |
| iterateModel | Impute missing estimates, with Smart Guessing |
| iterateModelKFCV | K-folds CV, with Smart Guessing |
| iterateModelTT | Train-test approach for model tuning |
| ors.from.csv | Data used for original analysis |
| otherMissingObservations | Generate additional (optional) missing observations |
| plotTestFolds | Plot predicted vs. actual values from k-folds CV results |
| predictors.data | Predictor mapping |
| setDefaultModelingWeights | Assign default modeling weights |
| smartGuess | Smart Guessing for missing estimates |
| standardizeEVs | Standardize expected values, and generate plot |
| stdErrMC | Draw sample from specified beta distribution |
| syntheticAddGroups | Generate synthetic additive groups |
