Science Score: 36.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 11 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 6 committers (16.7%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: willtownes
  • License: lgpl-3.0
  • Language: R
  • Default Branch: master
  • Size: 436 KB
Statistics
  • Stars: 95
  • Watchers: 9
  • Forks: 11
  • Open Issues: 19
  • Releases: 0
Created about 7 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

R package: glmpca

Build Status codecov

Generalized PCA for non-normally distributed data. If you find this useful please cite Feature Selection and Dimension Reduction based on a Multinomial Model. (doi:10.1186/s13059-019-1861-6)

A python implementation is also available.

Installation

The glmpca package is available from CRAN. To install the stable release (recommended):

r install.packages("glmpca")

To install the development version:

r remotes::install_github("willtownes/glmpca")

Usage

```r library(glmpca)

create a simple dataset with two clusters

mu<-rep(c(.5,3),each=10) mu<-matrix(exp(rnorm(10020)),nrow=100) mu[,1:10]<-mu[,1:10]exp(rnorm(100)) clust<-rep(c("red","black"),each=10) Y<-matrix(rpois(prod(dim(mu)),mu),nrow=nrow(mu))

visualize the latent structure

res<-glmpca(Y, 2) factors<-res$factors plot(factors[,1],factors[,2],col=clust,pch=19) ```

For more details see the vignettes. For compatibility with Bioconductor, see scry. For compatibility with Seurat objects, see Seurat-wrappers.

Alternative implementations

GLM-PCA has been around for awhile and we have not been able to dedicate as much time to its maintenance and ongoing improvement as we would like. Fortunately, there are numerous alternative implementations that improve on our basic idea. Many of them are likely to be faster and more memory-efficient than our version, and some have interesting additional capabilities such as uncertainty quantification. In reverse chronological order, here are some packages to check out.

Issues and bug reports

Please use https://github.com/willtownes/glmpca/issues to submit issues, bug reports, and comments.

Owner

  • Name: Will Townes
  • Login: willtownes
  • Kind: user
  • Location: Pittsburgh, PA
  • Company: Carnegie Mellon University

Assistant Professor of Statistics and Data Science

GitHub Events

Total
  • Watch event: 1
  • Fork event: 1
Last Year
  • Watch event: 1
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 63
  • Total Committers: 6
  • Avg Commits per committer: 10.5
  • Development Distribution Score (DDS): 0.46
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Will Townes w****s@g****m 34
Kelly Street k****t@r****u 15
Kelly Street s****y@g****m 11
Peter Hickey p****y@g****m 1
Philipp A f****p@w****e 1
rmflight r****9@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 34
  • Total pull requests: 3
  • Average time to close issues: 3 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 23
  • Total pull request authors: 3
  • Average comments per issue: 2.41
  • Average comments per pull request: 1.67
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • willtownes (9)
  • frederikziebell (3)
  • leon-seranova (2)
  • jeremymsimon (1)
  • jakeyeung (1)
  • JauntyJJS (1)
  • hanbin973 (1)
  • venchi9 (1)
  • spinkney (1)
  • const-ae (1)
  • davemcg (1)
  • jtheorell (1)
  • bc2zb (1)
  • ttriche (1)
  • seawavevan (1)
Pull Request Authors
  • flying-sheep (1)
  • PeteHaitch (1)
  • rmflight (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 712 last-month
  • Total docker downloads: 546
  • Total dependent packages: 2
    (may contain duplicates)
  • Total dependent repositories: 9
    (may contain duplicates)
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: glmpca

Dimension Reduction of Non-Normally Distributed Data

  • Versions: 2
  • Dependent Packages: 2
  • Dependent Repositories: 9
  • Downloads: 712 Last month
  • Docker Downloads: 546
Rankings
Stargazers count: 4.4%
Forks count: 7.3%
Dependent repos count: 9.8%
Average: 13.3%
Downloads: 15.8%
Dependent packages count: 18.2%
Docker downloads count: 24.7%
Maintainers (1)
Last synced: 11 months ago
conda-forge.org: r-glmpca
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 32.4%
Dependent repos count: 34.0%
Average: 40.6%
Forks count: 44.7%
Dependent packages count: 51.2%
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • MASS * imports
  • methods * imports
  • stats * imports
  • utils * imports
  • Matrix * suggests
  • covr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • logisticPCA * suggests
  • markdown * suggests
  • testthat * suggests