Package: popPCR
Title: Classify Digital PCR Droplets by Fitting Fluorescence
        Populations
Version: 0.1.1.1
Authors@R: 
    person(given = "Joyce Emlyn",
           family = "Guiao",
           role = c("aut", "cre"),
           email = "joyce_emlyn_guiao@dlsu.edu.ph")
Description: 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>.
Imports: mvtnorm
Depends: graphics, stats, methods, grDevices, R (>= 2.10)
License: GPL (>= 3)
LazyLoad: yes
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.1
Packaged: 2021-03-09 14:44:42 UTC; Jeh
Author: Joyce Emlyn Guiao [aut, cre]
Maintainer: Joyce Emlyn Guiao <joyce_emlyn_guiao@dlsu.edu.ph>
Repository: CRAN
Date/Publication: 2021-03-09 23:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 21:16:05 UTC; unix
Archs: popPCR.so.dSYM
