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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: 1.4.1
Depends: R (≥ 3.1.0), gnm
Imports: VCA, MASS, utils, stats, graphics, grDevices, methods
Suggests: RUnit, knitr, rmarkdown, prettydoc
Published: 2022-11-08
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_1.4.1.tar.gz
Windows binaries: r-devel: VFP_1.4.1.zip, r-release: VFP_1.4.1.zip, r-oldrel: VFP_1.4.1.zip
macOS binaries: r-release (arm64): VFP_1.4.1.tgz, r-oldrel (arm64): VFP_1.4.1.tgz, r-release (x86_64): VFP_1.4.1.tgz, r-oldrel (x86_64): VFP_1.4.1.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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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