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: | 1.0 |
| Depends: | R (≥ 3.1.0), gnm |
| Imports: | MASS, utils, stats, graphics, grDevices |
| Suggests: | VCA, RUnit |
| Published: | 2018-07-31 |
| 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 |
| Reference manual: | VFP.pdf |
| Package source: | VFP_1.0.tar.gz |
| Windows binaries: | r-devel: VFP_1.0.zip, r-release: VFP_1.0.zip, r-oldrel: VFP_1.0.zip |
| OS X binaries: | r-release: VFP_1.0.tgz, r-oldrel: VFP_1.0.tgz |
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