Digital PCR Analysis

Analysis, visualisation and simulation of digital polymerase chain reaction (dPCR) (Burdukiewicz et al. (2016) ). Supports data formats of commercial systems (Bio-Rad QX100 and QX200; Fluidigm BioMark) and other systems.


Installation

dpcR is available on CRAN, so installation is as simple as:

install.packages("dpcR")

You can install the latest development version of the code using the devtools R package.

# Install devtools, if you haven't already.
install.packages("devtools")

library(devtools)
install_github("michbur/dpcR")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dpcR")

0.6 by Andrej-Nikolai Spiess, a year ago


https://github.com/michbur/dpcR


Report a bug at https://github.com/michbur/dpcR/issues


Browse source code at https://github.com/cran/dpcR


Authors: Michal Burdukiewicz [aut] (ORCID: , Stefan Roediger [aut] , Bart Jacobs [aut] , Piotr Sobczyk [ctb] , Andrej-Nikolai Spiess [cre, ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports binom, chipPCR, e1071, evd, dgof, multcomp, qpcR, pracma, rateratio.test, readxl, signal, shiny, spatstat.explore, spatstat.geom

Depends on methods

Suggests digest, DT, ggplot2, knitr, markdown, rhandsontable, rmarkdown, shinythemes, xtable


See at CRAN