Package: LFDR.MLE 1.0.1

LFDR.MLE: Estimation of the Local False Discovery Rates by Type II Maximum Likelihood Estimation

Suite of R functions for the estimation of the local false discovery rate (LFDR) using Type II maximum likelihood estimation (MLE).

Authors:Ye Yang, Marta Padilla, Alaa Ali, Kyle Leckett, Zhenyu Yang, Zuojing Li, Corey M. Yanofsky and David R. Bickel

LFDR.MLE_1.0.1.tar.gz
LFDR.MLE_1.0.1.zip(r-4.5)LFDR.MLE_1.0.1.zip(r-4.4)LFDR.MLE_1.0.1.zip(r-4.3)
LFDR.MLE_1.0.1.tgz(r-4.4-any)LFDR.MLE_1.0.1.tgz(r-4.3-any)
LFDR.MLE_1.0.1.tar.gz(r-4.5-noble)LFDR.MLE_1.0.1.tar.gz(r-4.4-noble)
LFDR.MLE_1.0.1.tgz(r-4.4-emscripten)LFDR.MLE_1.0.1.tgz(r-4.3-emscripten)
LFDR.MLE.pdf |LFDR.MLE.html✨
LFDR.MLE/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 10 scripts 136 downloads 39 exports 0 dependencies

Last updated 5 years agofrom:07998a9c2f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winOKOct 24 2024
R-4.5-linuxOKOct 24 2024
R-4.4-winOKOct 24 2024
R-4.4-macOKOct 24 2024
R-4.3-winOKOct 24 2024
R-4.3-macOKOct 24 2024

Exports:[areare_nullare_probas.numericassert.areassert.isdabsTdest2listget_groupsget_n.groupsget_null.groupsget_null.n.groupsget_simulated_Wis_anyis_erris_erroris_probis_unkis_videlengthlfdr.hatslfdr.l1olfdr.lholfdr.lolfdr.mdllfdr.mdlolfdr.mlemake_labelsMakeNamesnamesnew_est.lfdrmlensizerFUN_generatorsameAsX_namessimulated_Wvect2stringvectorized.dabsTdye.mle

Dependencies: