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VFP  

Variance Function Program
View on CRAN: Click here


Download and install VFP package within the R console
Install from CRAN:
install.packages("VFP")

Install from Github:
library("remotes")
install_github("cran/VFP")

Install by package version:
library("remotes")
install_version("VFP", "1.4.1")



Attach the package and use:
library("VFP")
Maintained by
Andre Schuetzenmeister
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-31
Latest Update: 2022-11-08
Description:
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.
How to cite:
Andre Schuetzenmeister (2018). VFP: Variance Function Program. R package version 1.4.1, https://cran.r-project.org/web/packages/VFP. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2018-07-31 11:40), 1.1 (2019-11-06 20:10), 1.2 (2019-12-17 22:30), 1.3.1 (2021-10-14 18:20), 1.3 (2020-06-16 17:30), 1.4 (2021-12-20 18:50)
Other packages that cited VFP R package
View VFP citation profile
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Complete documentation for VFP
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