VFP: Variance Function Program

Variance function estimation for models proposed by W. Sadler in his variance function program ('VFP', <http://www.aacb.asn.au/resources/useful-tools/variance-function-program-v14>). Here, the idea is to fit multiple variance functions to a data set and consequently assess which function reflects the relationship 'Var ~ Mean' best. For 'in-vitro diagnostic' ('IVD') assays modeling this relationship is of great importance when individual test-results are used for defining follow-up treatment of patients.

Version: 1.3.1
Depends: R (≥ 3.1.0), gnm
Imports: VCA, MASS, utils, stats, graphics, grDevices
Suggests: RUnit, knitr, rmarkdown, prettydoc
Published: 2021-10-14
Author: Andre Schuetzenmeister [cre, aut], Florian Dufey [aut], Andrea Geistanger [ctb]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister at roche.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: VFP results

Documentation:

Reference manual: VFP.pdf
Vignettes: Precision Profiles with R-Package VFP

Downloads:

Package source: VFP_1.3.1.tar.gz
Windows binaries: r-devel: VFP_1.3.1.zip, r-release: VFP_1.3.1.zip, r-oldrel: VFP_1.3.1.zip
macOS binaries: r-release (arm64): VFP_1.3.tgz, r-release (x86_64): VFP_1.3.1.tgz, r-oldrel: VFP_1.3.1.tgz
Old sources: VFP archive

Reverse dependencies:

Reverse suggests: VCA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=VFP to link to this page.