R: A Collection of Techniques Correcting for Sample Selection Bias

# A Collection of Techniques Correcting for Sample Selection Bias

## Documentation for package ‘sambia’ version 0.1.0

- DESCRIPTION file

## Help Pages

costing | Predicting outcomes using Costing.
genSample | Generate synthetic observations using inverse-probability weights
IPbag | Predicting outcomes using non-parametric Inverse-Probability bagging
ipOversampling | Plain replication of each observation by inverse-probability weights
rejSamp | Rejection Sampling is a method used in sambia's function 'costing' (Krautenbacher et al, 2017).
smoteMod | smoteMod is a modified version of the 'synthetic minority oversampling technique to generate new data.
smoteNew | smoteNew is a necessary function that modifies the SMOTE algorithm.
synthIPbag | Train a classifier via synthetic observations using inverse-probability weights