Package: FarmTest 2.2.0
FarmTest: Factor-Adjusted Robust Multiple Testing
Performs robust multiple testing for means in the presence of known and unknown latent factors presented in Fan et al.(2019) "FarmTest: Factor-Adjusted Robust Multiple Testing With Approximate False Discovery Control" <doi:10.1080/01621459.2018.1527700>. Implements a series of adaptive Huber methods combined with fast data-drive tuning schemes proposed in Ke et al.(2019) "User-Friendly Covariance Estimation for Heavy-Tailed Distributions" <doi:10.1214/19-STS711> to estimate model parameters and construct test statistics that are robust against heavy-tailed and/or asymmetric error distributions. Extensions to two-sample simultaneous mean comparison problems are also included. As by-products, this package contains functions that compute adaptive Huber mean, covariance and regression estimators that are of independent interest.
Authors:
FarmTest_2.2.0.tar.gz
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FarmTest.pdf |FarmTest.html✨
FarmTest/json (API)
# Install 'FarmTest' in R: |
install.packages('FarmTest', repos = c('https://xiaooupan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xiaooupan/farmtest/issues
Last updated 4 years agofrom:ac4c442459. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win-x86_64 | NOTE | Nov 03 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 03 2024 |
R-4.4-win-x86_64 | NOTE | Nov 03 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 03 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 03 2024 |
R-4.3-win-x86_64 | NOTE | Nov 03 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 03 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 03 2024 |
Exports:farm.testhuber.covhuber.meanhuber.reg
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
FarmTest: Factor-Adjusted Robust Multiple Testing | FarmTest-package |
Factor-adjusted robust multiple testing | farm.test |
Tuning-free Huber-type covariance estimation | huber.cov |
Tuning-free Huber mean estimation | huber.mean |
Tuning-free Huber regression | huber.reg |
Plot function of FarmTest | plot.farm.test |
Print function of FarmTest | print.farm.test |
Summary function of FarmTest | summary.farm.test |