Inference Based on Non-Probability Samples

Documentation for package ‘nonprobsvy’ version 0.2.3

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