Package: iWeigReg 1.1

Zhiqiang Tan

iWeigReg: Improved Methods for Causal Inference and Missing Data Problems

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:

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

Last updated 3 years agofrom:2f4e8b4b0e. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 21 2024
R-4.5-linux	OK	Nov 21 2024

Dependencies:MASS trust

Last update: 2013-02-20
Started: 2013-02-20

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