amp: Statistical Test for the Multivariate Point Null Hypotheses

A testing framework for testing the multivariate point null hypothesis. A testing framework described in Elder et al. (2022) <doi:10.48550/arXiv.2203.01897> to test the multivariate point null hypothesis. After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.

Version: 1.0.0
Imports: MASS, stats, SuperLearner, glmnet, dplyr, rlang, ggplot2, tidyr
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2022-04-06
Author: Adam Elder ORCID iD [aut, cre], Marco Carone ORCID iD [ths], Alex Luedtke ORCID iD [ths]
Maintainer: Adam Elder <shmelder at gmail.com>
BugReports: https://github.com/adam-s-elder/amp/issues
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: amp results

Documentation:

Reference manual: amp.pdf
Vignettes: run_test_prebuilt_ic
Better Understanding Test Controls

Downloads:

Package source: amp_1.0.0.tar.gz
Windows binaries: r-devel: amp_1.0.0.zip, r-release: amp_1.0.0.zip, r-oldrel: amp_1.0.0.zip
macOS binaries: r-release (arm64): amp_1.0.0.tgz, r-oldrel (arm64): amp_1.0.0.tgz, r-release (x86_64): amp_1.0.0.tgz

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