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

Install

install.packages('iWeigReg')

Monthly Downloads

225

Version

1.1

License

GPL (>= 2)

Maintainer

Zhiqiang Tan

Last Published

May 20th, 2022

Functions in iWeigReg (1.1)

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