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iWeigReg (version 1.1)
Improved Methods for Causal Inference and Missing Data Problems
Description
Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.
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Version
1.1
1.0
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Install
install.packages('iWeigReg')
Monthly Downloads
164
Version
1.1
License
GPL (>= 2)
Maintainer
Zhiqiang Tan
Last Published
May 20th, 2022
Functions in iWeigReg (1.1)
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ate.reg
Non-calibrated regression estimator for the causal-inference setup
iWeigReg-package
A R package for improved methods for causal inference and missing data problems
ate.lik
Non-calibrated likelihood estimator for the causal-inference setup
histw
Weighted histogram
loglik
The non-calibrated objective function ("log-likelihood")
loglik.g
The calibrated objective function ("log-likelihood")
ate.creg
Calibrated regression estimator for the causal-inference setup
ate.clik
Calibrated likelihood estimator for the causal-inference setup
ate.HT
Horvitz-Thompson estimator for the causal-inference setup
KS.data
A simulated dataset
mn.reg
Non-calibrated regression estimator for the missing-data setup
myinv
Inverse of a matrix
mn.clik
Calibrated likelihood estimator for the missing-data setup
mn.HT
Horvitz-Thompson estimator for the missing-data setup
mn.creg
Calibrated regression estimator for the missing-data setup
mn.lik
Non-calibrated likelihood estimator for the missing-data setup