Inference Based on Non-Probability Samples

Documentation for package ‘nonprobsvy’ version 0.2.2

admin	Admin data (non-probability survey)
check_balance	Checks the variable balance between the probability and non-probability samples
coef.nonprob	Returns coefficients of the underlying models
confint.nonprob	Returns 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 estimates from the nonprob class 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
nobs.nonprob	Returns the number of rows in samples
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	Extracts the inverse probability weights