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
Depends:	R (≥ 3.1.0), gnm
Imports:	VCA, MASS, utils, stats, graphics, grDevices
Suggests:	RUnit, knitr, rmarkdown, prettydoc
Published:	2021-12-20
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.tar.gz
Windows binaries:	r-devel: VFP_1.4.zip, r-release: VFP_1.4.zip, r-oldrel: VFP_1.4.zip
macOS binaries:	r-release (arm64): VFP_1.4.tgz, r-oldrel (arm64): VFP_1.4.tgz, r-release (x86_64): VFP_1.4.tgz, r-oldrel (x86_64): VFP_1.4.tgz
Old sources:	VFP archive

Reverse dependencies:

Reverse suggests:

VCA

Linking:

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