VFP-Package: (V)ariance (F)unction (P)rogram
In VFP: Variance Function Program
VFP-package R Documentation
(V)ariance (F)unction (P)rogram
Description
The intended use of this package is to implement variance functions proposed in Sadler's VFP stand-alone software
(see reference below), from which the name was borrowed as well.
Main function of this package is fit.vfp for fitting non-linear variance-function
models. Usually, these models are fitted to analysis-results of precision performance data e.g.
frequently generated for in-vitro diagnostics (IVD). R-package VFP is designed to work best on objects
of class 'VCA' as generated by R-package VCA but it is not restricted to these.
There are several functions operating on S3-objects of class 'VFP', e.g. plot.VFP,
print.VFP, summary.VFP, and predict.VFP. Function predictMean
is of special interest when a functional relationship is used to derive limit of quantitation (LoQ) or functional
sensitivity, as the concentration at which the IVD-imprecision expressed as coefficient of variation (CV) undercuts
a specific threshold.
Details
Package: VFP
Type: Package
Version: 1.4.1
Date: 2022-11-08
License: GPL (>=3)
LazyLoad: yes
Author(s)
Andre Schuetzenmeister andre.schuetzenmeister@roche.com,
Florian Dufey florian.dufey@roche.com,
Andrea Geistanger andrea.geistanger@roche.com
References
CLSI EP05-A3: Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline - Third Edition. (2014)
Sadler WA, Smith MH. Use and Abuse of Imprecision Profiles: Some Pitfalls Illustarted by Computing and Plotting Confidence Intervals. Clin Chem 1990; 36/7:1346-1350
Sadler WA, Smith MH. A reliable method of estimating the variance function in immunoassays. Comput Stat Data Anal 1986; 3:227-239
Sadler WA, Smith MH. Estimation of imprecision in immunoassays quality assessment programmes. Ann Clin Biochem 1987; 24:98-102
Sadler WA, http://www.aacb.asn.au/professionaldevelopment/useful-tools/variance-function-program-version-110. Accessed November 16, 2015
VFP documentation built on Nov. 10, 2022, 5:12 p.m.
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| VFP-package | R Documentation |
(V)ariance (F)unction (P)rogram
Description
The intended use of this package is to implement variance functions proposed in Sadler's VFP stand-alone software
(see reference below), from which the name was borrowed as well.
Main function of this package is fit.vfp for fitting non-linear variance-function
models. Usually, these models are fitted to analysis-results of precision performance data e.g.
frequently generated for in-vitro diagnostics (IVD). R-package VFP is designed to work best on objects
of class 'VCA' as generated by R-package VCA but it is not restricted to these.
There are several functions operating on S3-objects of class 'VFP', e.g. plot.VFP,
print.VFP, summary.VFP, and predict.VFP. Function predictMean
is of special interest when a functional relationship is used to derive limit of quantitation (LoQ) or functional
sensitivity, as the concentration at which the IVD-imprecision expressed as coefficient of variation (CV) undercuts
a specific threshold.
Details
| Package: | VFP |
| Type: | Package |
| Version: | 1.4.1 |
| Date: | 2022-11-08 |
| License: | GPL (>=3) |
| LazyLoad: | yes |
Author(s)
Andre Schuetzenmeister andre.schuetzenmeister@roche.com, Florian Dufey florian.dufey@roche.com, Andrea Geistanger andrea.geistanger@roche.com
References
CLSI EP05-A3: Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline - Third Edition. (2014) Sadler WA, Smith MH. Use and Abuse of Imprecision Profiles: Some Pitfalls Illustarted by Computing and Plotting Confidence Intervals. Clin Chem 1990; 36/7:1346-1350
Sadler WA, Smith MH. A reliable method of estimating the variance function in immunoassays. Comput Stat Data Anal 1986; 3:227-239
Sadler WA, Smith MH. Estimation of imprecision in immunoassays quality assessment programmes. Ann Clin Biochem 1987; 24:98-102
Sadler WA, http://www.aacb.asn.au/professionaldevelopment/useful-tools/variance-function-program-version-110. Accessed November 16, 2015
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