Skip to contents

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.