valliant_weights {NonProbEst} | R Documentation |
Computes weights from propensity estimates using the 1/pi_i formula introduced in Valliant (2019).
valliant_weights(propensities)
propensities |
A vector with the propensities associated to the elements of the convenience sample. |
The function takes the vector of propensities \pi(x)
and calculates the weights to be applied in the Hajek estimator using the formula that can be found in Valliant (2019). For an individual i, weight is calculated as follows:
w_i = 1/\pi_i (x)
A vector with the corresponding weights.
Valliant, R. (2019). Comparing Alternatives for Estimation from Nonprobability Samples. Journal of Survey Statistics and Methodology, smz003, https://doi.org/10.1093/jssam/smz003
covariates = c("education_primaria", "education_secundaria")
data_propensities = propensities(sampleNP, sampleP, covariates)
valliant_weights(data_propensities$convenience)