Package: depower 2024.12.4.999

depower: Power Analysis for Differential Expression Studies

Provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.

Authors:Brett Klamer [aut, cre], Lianbo Yu [aut]

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depower/json (API)
NEWS

# Install 'depower' in R:
install.packages('depower', repos = c('https://bklamer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://bitbucket.org/bklamer/depower

On CRAN:

4.00 score 3 downloads 21 exports 55 dependencies

Last updated 17 days agofrom:fd12fc8d2d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-winOKDec 09 2024
R-4.5-linuxOKDec 09 2024
R-4.4-winOKDec 09 2024
R-4.4-macOKDec 09 2024
R-4.3-winOKDec 09 2024
R-4.3-macOKDec 09 2024

Exports:glm_nbglmm_bnbglmm_poissonlrt_bnblrt_nbmle_bnb_altmle_bnb_nullmle_nb_altmle_nb_nullnll_bnb_altnll_bnb_nullnll_nb_altnll_nb_nullpowersim_bnbsim_log_lognormalsim_nbt_test_pairedt_test_welchwald_test_bnbwald_test_nb

Dependencies:BHbootcallrclicolorspacecrayondplyrfansifarvergenericsggplot2glmmTMBgluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamultidplyrmunsellmvnfastnlmenloptrnumDerivpillarpkgconfigprocessxpsqsR6RApiSerializerbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangscalesstringfishtibbletidyselectTMButf8vctrsviridisLitewithr