R: Estimation in Nonprobability Sampling

# Estimation in Nonprobability Sampling

## Documentation for package ‘NonProbEst’ version 0.2.4

- DESCRIPTION file

## 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