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-4.5)popPCR_0.1.1.1.zip(r-4.4)popPCR_0.1.1.1.zip(r-4.3)
popPCR_0.1.1.1.tgz(r-4.4-x86_64)popPCR_0.1.1.1.tgz(r-4.4-arm64)popPCR_0.1.1.1.tgz(r-4.3-x86_64)popPCR_0.1.1.1.tgz(r-4.3-arm64)
popPCR_0.1.1.1.tar.gz(r-4.5-noble)popPCR_0.1.1.1.tar.gz(r-4.4-noble)
popPCR_0.1.1.1.tgz(r-4.4-emscripten)popPCR_0.1.1.1.tgz(r-4.3-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'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

4 exports 0.63 score 1 dependencies 4 scripts 202 downloads

Last updated 4 years agofrom:e0f0f4c22b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-win-x86_64OKSep 14 2024
R-4.5-linux-x86_64OKSep 14 2024
R-4.4-win-x86_64OKSep 14 2024
R-4.4-mac-x86_64OKSep 14 2024
R-4.4-mac-aarch64OKSep 14 2024
R-4.3-win-x86_64OKSep 14 2024
R-4.3-mac-x86_64OKSep 14 2024
R-4.3-mac-aarch64OKSep 14 2024

Exports:calculateConcpopPCRprintSummaryConcprintSummaryFit

Dependencies:mvtnorm