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-4.6)popPCR_0.1.1.1.zip(r-4.5)
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-4.6-arm64)popPCR_0.1.1.1.tar.gz(r-4.6-x86_64)popPCR_0.1.1.1.tar.gz(r-4.5-arm64)popPCR_0.1.1.1.tar.gz(r-4.5-x86_64)
popPCR_0.1.1.1.tgz(r-4.5-emscripten)
popPCR.pdf |popPCR.html✨
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:

fortranopenblas

2.70 score 4 scripts 195 downloads 4 exports 1 dependencies

Last updated from:e0f0f4c22b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK115
linux-devel-x86_64OK137
source / vignettesOK158
linux-release-arm64OK105
linux-release-x86_64OK135
macos-devel-arm64OK164
macos-devel-x86_64OK204
macos-release-arm64OK171
macos-release-x86_64OK375
windows-develOK175
windows-releaseOK83
windows-oldrelOK152
wasm-releaseOK99

Exports:calculateConcpopPCRprintSummaryConcprintSummaryFit

Dependencies:mvtnorm