Package index • nonprobsvy

All functions

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