Package index • nonprobsampling

Main functions

Estimate pseudo-weights for a nonprobability sample and compute pseudo-weighted means.

est_pw(): Estimate Pseudo-Weights for Nonprobability Samples

pwmean(): Estimate Pseudo-Weighted Means, Prevalences, and Standard Errors

pw_solver_control(): Control Solver Settings for Pseudo-Weight Estimation

Methods

Print, summary, and extractor methods for the fitted objects.

print(<pw_fit>): Print method for pw_fit objects

summary(<pw_fit>): Summarize a Pseudo-Weight Fit

print(<pwmean>): Print method for pwmean objects

print(<pwmean_factor>): Print method for pwmean objects with categorical outcomes

summary(<pwmean>): Summary method for pwmean objects

summary(<pwmean_factor>): Summary method for pwmean objects with categorical outcomes

na.action(<pw_fit>): Extract NA action from a pw_fit object

na.action(<pwmean>): Extract NA action from a pwmean object

print(<pw_na_summary>): Print method for pw_na_summary

Datasets

Example datasets used in the documentation and the vignette.

sc: Nonprobability Sample (sc)

sp1: Probability Reference Sample 1 (sp1)

sp2: Probability Reference Sample 2 (sp2)

sp1_bootstrap: Probability Reference Sample 1 with Bootstrap Replicate Weights (sp1_bootstrap)