Package: mfa 1.34.0

Kieran Campbell

mfa: Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations

MFA models genomic bifurcations using a Bayesian hierarchical mixture of factor analysers.

Authors:Kieran Campbell [aut, cre]

mfa_1.34.0.tar.gz
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mfa_1.34.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mfa/json (API)

# Install 'mfa' in R:
install.packages('mfa', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

immunooncologyrnaseqgeneexpressionbayesiansinglecellcpp

3.09 score 41 scripts 368 downloads 2 mentions 8 exports 58 dependencies

Last updated from:c7793e2839 (on RELEASE_3_23). Checks:1 WARNING, 12 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksWARNING209
linux-devel-arm64ERROR190
linux-devel-x86_64ERROR204
source / vignettesERROR209
linux-release-arm64ERROR161
linux-release-x86_64ERROR202
macos-release-arm64ERROR117
macos-release-x86_64ERROR247
macos-oldrel-arm64ERROR122
macos-oldrel-x86_64ERROR307
windows-develERROR159
windows-releaseERROR121
windows-oldrelERROR149
wasm-releaseOK133

Exports:calculate_chicreate_syntheticempirical_lambdamfaplot_chiplot_dropout_relationshipplot_mfa_autocorrplot_mfa_trace

Dependencies:apeBiobaseBiocGenericsclicodacorpcorcpp11crayoncubaturedigestdplyrfarverforcatsgenericsGGallyggmcmcggplot2ggstatsgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCglmmMCMCpacknlmepatchworkpillarpkgconfigprettyunitsprogresspurrrquantregR6RColorBrewerRcpprlangS7scalesSparseMstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr