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: 2018.1-31
Depends: R (≥ 3.3.0), kyotil, nlme
Suggests: RUnit, Rmosek, Matrix
Published: 2018-01-31
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_2018.1-31.tar.gz
Windows binaries: r-devel: prc_2018.1-31.zip, r-release: prc_2018.1-31.zip, r-oldrel: prc_2018.1-31.zip
OS X binaries: r-release: prc_2018.1-31.tgz, r-oldrel: prc_2018.1-31.tgz
Old sources: prc archive

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