iWeigReg: Improved Methods for Causal Inference and Missing Data Problems

Package: iWeigReg 1.1

Zhiqiang Tan

Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.

Authors:Zhiqiang Tan and Heng Shu

# Install 'iWeigReg' in R:

install.packages('iWeigReg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:2f4e8b4b0e. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	103
source / vignettes	OK	177
linux-release-x86_64	OK	108
wasm-release	OK	93

Dependencies:MASS trust

iWeigReg vignette

Rendered fromvig.Rnwusingutils::Sweave

Help page	Topics
A R package for improved methods for causal inference and missing data problems	iWeigReg-package iWeigReg
Calibrated likelihood estimator for the causal-inference setup	ate.clik
Calibrated regression estimator for the causal-inference setup	ate.creg
Horvitz-Thompson estimator for the causal-inference setup	ate.HT
Non-calibrated likelihood estimator for the causal-inference setup	ate.lik
Non-calibrated regression estimator for the causal-inference setup	ate.reg
Weighted histogram	histw
A simulated dataset	KS.data
The non-calibrated objective function ("log-likelihood")	loglik
The calibrated objective function ("log-likelihood")	loglik.g
Calibrated likelihood estimator for the missing-data setup	mn.clik
Calibrated regression estimator for the missing-data setup	mn.creg
Horvitz-Thompson estimator for the missing-data setup	mn.HT
Non-calibrated likelihood estimator for the missing-data setup	mn.lik
Non-calibrated regression estimator for the missing-data setup	mn.reg
Inverse of a matrix	myinv

Help page

Topics

iWeigReg-package iWeigReg

ate.clik

ate.creg

ate.HT

ate.lik