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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 |
DOI: | 10.32614/CRAN.package.amp |
Author: | Adam Elder [aut, cre], Marco Carone [ths], Alex Luedtke [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 |
Reference manual: | amp.pdf |
Vignettes: |
run_test_prebuilt_ic Better Understanding Test Controls |
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, r-oldrel (x86_64): amp_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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