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All functions

admin
Admin data (non-probability survey)
check_balance()
Check the variable balance between the probability and non-probability samples
confint(<nonprob>)
Confidence intervals for estimated mean
control_inf()
Control parameters for inference
control_out()
Control parameters for outcome model
control_sel()
Control parameters for the selection model
extract()
Extracts the estimated mean(s) or their standard error(s) from the nonprob object
jvs
Job vacancy survey
method_glm()
Mass imputation using the generalized linear model method
method_nn()
Mass imputation using nearest neighbours matching method
method_npar()
Mass imputation using non-parametric model method
method_pmm()
Mass imputation using predictive mean matching method
method_ps()
Propensity score model functions
nonprob()
Inference with non-probability survey samples
plot(<nonprob>)
Plots the estimated mean(s) and their confidence interval(s)
pop_size()
Returns population size (estimated or fixed)
print(<nonprob_summary>)
Print method for the nonprob_summary object
summary(<nonprob>)
Summary statistics for model of the nonprob class
update(<nonprob>)
The update method for the nonprob object with changed arguments or parameters
weights(<nonprob>)
Extract the inverse probability weights