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

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