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popPCR  

Classify Digital PCR Droplets by Fitting Fluorescence Populations
View on CRAN: Click here


Download and install popPCR package within the R console
Install from CRAN:
install.packages("popPCR")

Install from Github:
library("remotes")
install_github("cran/popPCR")

Install by package version:
library("remotes")
install_version("popPCR", "0.1.1.1")



Attach the package and use:
library("popPCR")
Maintained by
Joyce Emlyn Guiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-03
Latest Update: 2021-03-09
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" .
How to cite:
Joyce Emlyn Guiao (2021). popPCR: Classify Digital PCR Droplets by Fitting Fluorescence Populations. R package version 0.1.1.1, https://cran.r-project.org/web/packages/popPCR. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2021-03-03 10:00)
Other packages that cited popPCR R package
View popPCR citation profile
Other R packages that popPCR depends, imports, suggests or enhances
Complete documentation for popPCR
Functions, R codes and Examples using the popPCR R package
Some associated functions: calculateConc . popPCR . printSummaryConc . printSummaryFit . x_multiPop . x_onePop . x_twoPop . 
Some associated R codes: EmSkew.R . calculateConc.R . data.R . popPCR.R . printPopPCR.R .  Full popPCR package functions and examples
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