R: Inference Based on Non-Probability Samples

# Inference Based on Non-Probability Samples

## Documentation for package ‘nonprobsvy’ version 0.2.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

admin | Admin Data (Non-Probability Survey)
check_balance | Checks 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 Models of the Nonprob Class
update.nonprob | Update Method for the Nonprob Object with Changed Arguments or Parameters
weights.nonprob | Extracts the Inverse Probability (Propensity Score) Weights