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treefit: The First Software for Quantitative Trajectory Inference

Perform two types of analysis: 1) checking the goodness-of-fit of tree models to your single-cell gene expression data; and 2) deciding which tree best fits your data.

Version: 1.0.2
Imports: ggplot2, igraph, patchwork, pracma
Suggests: Seurat, gridExtra, knitr, plotly, qpdf, rmarkdown, testthat
Published: 2022-01-18
DOI: 10.32614/CRAN.package.treefit
Author: Momoko Hayamizu ORCID iD [aut], Kouhei Sutou ORCID iD [aut, cre], Ryohei Suzuki ORCID iD [aut], Hiromi Ishii ORCID iD [aut]
Maintainer: Kouhei Sutou <kou at clear-code.com>
BugReports: https://github.com/hayamizu-lab/treefit-r/issues
License: GPL (≥ 3)
URL: https://hayamizu-lab.github.io/treefit-r/, https://github.com/hayamizu-lab/treefit-r/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: Omics
CRAN checks: treefit results

Documentation:

Reference manual: treefit.pdf
Vignettes: Treefit - Getting started
Treefit - Working with Seurat

Downloads:

Package source: treefit_1.0.2.tar.gz
Windows binaries: r-devel: treefit_1.0.2.zip, r-release: treefit_1.0.2.zip, r-oldrel: treefit_1.0.2.zip
macOS binaries: r-release (arm64): treefit_1.0.2.tgz, r-oldrel (arm64): treefit_1.0.2.tgz, r-release (x86_64): treefit_1.0.2.tgz, r-oldrel (x86_64): treefit_1.0.2.tgz
Old sources: treefit archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=treefit to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.