multipleOutcomes: Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes

Regression models can be fitted for multiple outcomes simultaneously. This package computes estimates of parameters across fitted models and returns the matrix of asymptotic covariance. Various applications of this package, including CUPED (Controlled Experiments Utilizing Pre-Experiment Data), multiple comparison adjustment, are illustrated.

Version: 0.2
Imports: dplyr, ggplot2, mvtnorm, tidyr
Suggests: knitr, rmarkdown
Published: 2024-03-08
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: multipleOutcomes results

Documentation:

Reference manual: multipleOutcomes.pdf
Vignettes: CUPED: Controlled Experiments Utilizing Pre-Experiment Data

Downloads:

Package source: multipleOutcomes_0.2.tar.gz
Windows binaries: r-prerel: multipleOutcomes_0.2.zip, r-release: multipleOutcomes_0.2.zip, r-oldrel: multipleOutcomes_0.2.zip
macOS binaries: r-prerel (arm64): multipleOutcomes_0.2.tgz, r-release (arm64): multipleOutcomes_0.2.tgz, r-oldrel (arm64): multipleOutcomes_0.2.tgz, r-prerel (x86_64): multipleOutcomes_0.2.tgz, r-release (x86_64): multipleOutcomes_0.2.tgz

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