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sambia  

A Collection of Techniques Correcting for Sample Selection Bias
View on CRAN: Click here


Download and install sambia package within the R console
Install from CRAN:
install.packages("sambia")

Install from Github:
library("remotes")
install_github("cran/sambia")

Install by package version:
library("remotes")
install_version("sambia", "0.1.0")



Attach the package and use:
library("sambia")
Maintained by
Norbert Krautenbacher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-06
Latest Update: 2018-06-06
Description:
A collection of various techniques correcting statistical models for sample selection bias is provided. In particular, the resampling-based methods "stochastic inverse-probability oversampling" and "parametric inverse-probability bagging" are placed at the disposal which generate synthetic observations for correcting classifiers for biased samples resulting from stratified random sampling. For further information, see the article Krautenbacher, Theis, and Fuchs (2017) . The methods may be used for further purposes where weighting and generation of new observations is needed.
How to cite:
Norbert Krautenbacher (2018). sambia: A Collection of Techniques Correcting for Sample Selection Bias. R package version 0.1.0, https://cran.r-project.org/web/packages/sambia. Accessed 22 Dec. 2024.
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Complete documentation for sambia
Functions, R codes and Examples using the sambia R package
Some associated functions: IPbag . costing . genSample . ipOversampling . rejSamp . smoteMod . smoteNew . synthIPbag . 
Some associated R codes: IPbag.R . costing.R . genSample.R . ipOversampling.R . rejSamp.R . smoteMod.R . smoteNew.R . synthIPbag.R .  Full sambia package functions and examples
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