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Uncertainty Intervals and Sensitivity Analysis for Missing Data

Installation

About

Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) doi:10.1007/s00362-014-0610-x and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) doi:10.1007/s10433-017-0448-x; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) doi:10.1111/biom.13001.

Key Metrics

Version 0.1.1
R ≥ 3.5
Published 2019-11-11 1637 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Minna Genbaeck

minna.genback@umu.se

Authors

Minna Genbaeck

aut / cre

Material

NEWS
Reference manual
Package source

In Views

CausalInference

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ui archive

Depends

R ≥ 3.5

Imports

Matrix
maxLik
mvtnorm
numDeriv
graphics
stats

Suggests

MASS