Package: mfa 1.27.0
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:
mfa_1.27.0.tar.gz
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mfa.pdf |mfa.html✨
mfa/json (API)
| # Install 'mfa' in R: |
| install.packages('mfa', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:mfa-1.27.0(bioc 3.20)mfa-1.26.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:9505ca7d58
Exports:calculate_chicreate_syntheticempirical_lambdamfaplot_chiplot_dropout_relationshipplot_mfa_autocorrplot_mfa_trace
Dependencies:apebackportsBiobaseBiocGenericsbitbit64broombroom.helpersclicliprcodacolorspacecorpcorcpp11crayoncubaturedigestdplyrfansifarverforcatsgenericsGGallyggmcmcggplot2ggstatsgluegtablehavenhmsisobandlabelinglabelledlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCglmmMCMCpackmgcvmunsellnlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrquantregR6RColorBrewerRcppreadrrlangscalesSparseMstringistringrsurvivaltensorAtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate posterior chi precision parameters | calculate_chi |
| Create synthetic data | create_synthetic |
| Estimate the dropout parameter | empirical_lambda |
| Fit a MFA object | mfa |
| Plot posterior precision parameters | plot_chi |
| Plot the dropout relationship | plot_dropout_relationship |
| Plot MFA autocorrelation | plot_mfa_autocorr |
| Plot MFA trace | plot_mfa_trace |
| Print an mfa fit | print.mfa |
| Summarise an mfa fit | summary.mfa |
| Turn a trace list to a 'ggmcmc' object | to_ggmcmc |
