# Inference Based on Non-Probability Samples

## Documentation for package ‘nonprobsvy’ version 0.2.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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