CRAN/E | spruce

spruce

Spatial Random Effects Clustering of Single Cell Data

Installation

About

Allows for identification of cell sub-populations within tissue samples using Bayesian multivariate mixture models with spatial random effects to account for a wide range of spatial gene expression patterns, as described in Allen et. al, 2021 doi:10.1101/2021.06.23.449615. Bayesian inference is conducted using efficient Gibbs sampling implemented using 'Rcpp'.

Key Metrics

Version 0.99.1
R ≥ 4.0
Published 2022-02-21 788 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks spruce results

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Maintainer

Maintainer

Carter Allen

carter.allen12@gmail.com

Authors

Carter Allen

aut / cre

Dongjun Chung

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 4.0

Imports

Rcpp
mvtnorm
BayesLogit
truncnorm
stats
igraph
MCMCpack
patchwork
tidyr
dplyr
ggplot2
tidyselect
Seurat
rlang

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

maple