Estimation in Nonprobability Sampling
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Documentation for package ‘NonProbEst’ version 0.2.4
Help Pages
| calib_weights | Weights of the calibration estimator |
| confidence_interval | Confidence interval |
| fast_jackknife_variance | Calculates Jackknife variance without reweighting |
| generic_jackknife_variance | Calculates Jackknife variance with reweighting for an arbitrary estimator |
| jackknife_variance | Calculates Jackknife variance with reweighting for PSA |
| lee_weights | Calculates Lee weights |
| matching | Predicts unknown responses by matching |
| mean_estimation | Estimates the population means |
| model_assisted | Calculates a model assisted estimation |
| model_based | Calculates a model based estimation |
| model_calibrated | Calculates a model calibrated estimation |
| population | A full population |
| propensities | Calculates sample propensities |
| prop_estimation | Estimates the population proportion |
| sampleNP | A non-probabilistic sample |
| sampleP | A probabilistic sample |
| sc_weights | Calculates Schonlau and Couper weights |
| total_estimation | Estimates the population totals |
| valliant_weights | Calculates Valliant weights |
| vd_weights | Calculates Valliant and Dever weights |