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>.

Depends: graphics, stats, methods, grDevices, R (≥ 2.10)
Imports: mvtnorm
Published: 2021-03-09
Author: Joyce Emlyn Guiao [aut, cre]
Maintainer: Joyce Emlyn Guiao <joyce_emlyn_guiao at dlsu.edu.ph>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: popPCR results


Reference manual: popPCR.pdf
Package source: popPCR_0.1.1.1.tar.gz
Windows binaries: r-devel: popPCR_0.1.1.1.zip, r-devel-UCRT: popPCR_0.1.1.1.zip, r-release: popPCR_0.1.1.1.zip, r-oldrel: popPCR_0.1.1.1.zip
macOS binaries: r-release (arm64): popPCR_0.1.1.1.tgz, r-release (x86_64): popPCR_0.1.1.1.tgz, r-oldrel: popPCR_0.1.1.1.tgz
Old sources: popPCR archive


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