Package: popPCR 0.1.1.1

popPCR: Classify Digital PCR Droplets by Fitting Fluorescence Populations

Estimates DNA target concentration by classifying digital PCR (polymerase chain reaction) droplets as positive, negative, or rain, using Expectation-Maximization Clustering. The fitting is accomplished using the 'EMMIXskew' R package (v. 1.0.3) by Kui Wang, Angus Ng, and Geoff McLachlan (2018) as based on their paper "Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data" <doi:10.1109/DICTA.2009.88>.

Authors:Joyce Emlyn Guiao [aut, cre]

popPCR_0.1.1.1.tar.gz
popPCR_0.1.1.1.zip(r-4.7-x86_64)popPCR_0.1.1.1.zip(r-4.7-arm64)popPCR_0.1.1.1.zip(r-4.6-x86_64)popPCR_0.1.1.1.zip(r-4.6-arm64)popPCR_0.1.1.1.zip(r-4.5-x86_64)
popPCR_0.1.1.1.tgz(r-4.6-x86_64)popPCR_0.1.1.1.tgz(r-4.6-arm64)popPCR_0.1.1.1.tgz(r-4.5-x86_64)popPCR_0.1.1.1.tgz(r-4.5-arm64)
popPCR_0.1.1.1.tar.gz(r-4.7-arm64)popPCR_0.1.1.1.tar.gz(r-4.7-x86_64)popPCR_0.1.1.1.tar.gz(r-4.6-arm64)popPCR_0.1.1.1.tar.gz(r-4.6-x86_64)
popPCR_0.1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
popPCR/json (API)

# Install 'popPCR' in R:
install.packages('popPCR', repos = c('https://zeroh729.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zeroh729/poppcr/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

Conda:

openblasglibc

2.70 score 4 scripts 273 downloads 4 exports 1 dependencies

Last updated from:e0f0f4c22b. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK104
source / vignettesOK156
linux-release-arm64OK93
linux-release-x86_64OK110
macos-release-arm64OK93
macos-release-x86_64OK197
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK367
windows-devel-arm64OK331
windows-devel-x86_64OK120
windows-release-arm64WARNING327
windows-release-x86_64OK82
windows-oldrel-x86_64OK88
wasm-releaseOK97

Exports:calculateConcpopPCRprintSummaryConcprintSummaryFit

Dependencies:mvtnorm