Package: BREADR 1.0.2.9000

BREADR: Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data

The goal of the package is to provide an easy-to-use method for estimating degrees of relatedness (up to the second degree) for extreme low-coverage data. The package also allows users to quantify and visualise the level of confidence in the estimated degrees of relatedness.

Authors:Jono Tuke [aut, cre], Adam B. Rohrlach [aut], Wolfgang Haak [aut], Divyaratan Popli [aut]

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BREADR.pdf |BREADR.html✨
BREADR/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/jonotuke/breadr/issues

On CRAN:

13 exports 8 stars 1.71 score 80 dependencies 4 scripts 1.2k downloads

Last updated 9 days agofrom:47afeeec59. Checks:OK: 7. Indexed: yes.

Exports:%>%callRelatednessget_column_newplotLOAFplotSLICEprocessEigenstratprocessEigenstrat_oldread_indread_snpsaveSLICESsim_genosplit_linetest_degree

Dependencies:abindbackportsbitbit64bootbroomcarcarDataclicliprcolorspacecorrplotcowplotcpp11crayondata.tableDerivdoBydplyrfansifarverforcatsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehmsisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynomprettyunitsprogresspurrrquantregR6RColorBrewerRcppRcppEigenreadrrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr