splikit: Analysing RNA Splicing in Single-Cell RNA Sequencing Data

Provides analysis of high-dimensional single-cell splicing data. Offers a framework to extract and work with ratio-based data structures derived from single-cell RNA sequencing experiments. Provides both a modern 'R6' object-oriented interface and direct matrix manipulation functions. Core functionalities are implemented in 'C++' via 'Rcpp' to ensure high performance and scalability on large datasets.

Version:	2.3.1
Depends:	R (≥ 4.1.0)
Imports:	Matrix, data.table, methods, stats, Rcpp, R6
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2
Published:	2026-05-13
DOI:	10.32614/CRAN.package.splikit (may not be active yet)
Author:	Arsham Mikaeili Namini [aut, cre]
Maintainer:	Arsham Mikaeili Namini <arsham.mikaeilinamini at mail.mcgill.ca>
BugReports:	https://github.com/csglab/splikit/issues
License:	MIT + file LICENSE
URL:	https://csglab.github.io/splikit/, https://github.com/csglab/splikit
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	splikit results

Documentation:

Reference manual:	splikit.html , splikit.pdf
Vignettes:	STARsolo Processing Guide for Splicing Analysis (source) Methods Overview (source) Splikit Manual for Single-Cell Splicing Analysis (source)

Downloads:

Package source:	splikit_2.3.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): splikit_2.3.1.tgz, r-oldrel (arm64): splikit_2.3.1.tgz, r-release (x86_64): splikit_2.3.1.tgz, r-oldrel (x86_64): splikit_2.3.1.tgz

Linking:

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