Package index • nonprobsvy

All functions

cloglog_model_nonprobsvy(): Complementary log-log model for weights adjustment

confint(<nonprobsvy>): Confidence Intervals for Model Parameters

controlInf(): Control parameters for inference

controlOut(): Control parameters for outcome model

controlSel(): Control parameters for selection model

genSimData(): Simulation data

logit_model_nonprobsvy(): Logit model for weights adjustment

nonprob(): Inference with the non-probability survey samples

pop.size(): Estimate size of population

probit_model_nonprobsvy(): Probit model for weights adjustment

summary(<nonprobsvy>): Summary statistics for model of nonprobsvy class.

vcov(<nonprobsvy>): Obtain Covariance Matrix estimation.