prc: Paired Response Curve

Estimation, prediction and testing for analyzing serial dilution assay data (Fong and Yu 2015 <doi:10.1080/19466315.2015.1093019>) using paired response curve, which is a model of the nonlinear functional relationship between experimental outcomes measured at two different dilutions.

Version: 2019.1-23
Depends: R (≥ 3.3.0), kyotil, nlme
Suggests: RUnit, Rmosek, Matrix
Published: 2019-01-23
Author: Youyi Fong
Maintainer: Youyi Fong <youyifong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: prc results

Downloads:

Reference manual: prc.pdf
Package source: prc_2019.1-23.tar.gz
Windows binaries: r-devel: prc_2019.1-23.zip, r-release: prc_2019.1-23.zip, r-oldrel: prc_2019.1-23.zip
macOS binaries: r-release: prc_2019.1-23.tgz, r-oldrel: prc_2019.1-23.tgz
Old sources: prc archive

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