Package: depower 2025.1.20

Brett Klamer

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]

depower_2025.1.20.tar.gz
depower_2025.1.20.tar.gz(r-4.5-noble)depower_2025.1.20.tar.gz(r-4.4-noble)
depower_2025.1.20.tgz(r-4.4-emscripten)depower_2025.1.20.tgz(r-4.3-emscripten)
depower.pdf |depower.html
depower/json (API)
NEWS

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

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

On CRAN:

Conda-Forge:

2.57 score 37 scripts 230 downloads 21 exports 55 dependencies

Last updated 1 months agofrom:c8ce0ef6c7. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-linuxOKFeb 22 2025

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