Package: VFP 1.4.3

Andre Schuetzenmeister

VFP: Variance Function Program

Variance function estimation for models proposed by W. Sadler in his variance function program ('VFP', www.aacb.asn.au/AACB/Resources/Variance-Function-Program). 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.

Authors:Andre Schuetzenmeister [cre, aut], Florian Dufey [aut], Andrea Geistanger [ctb]

VFP_1.4.3.tar.gz
VFP_1.4.3.tar.gz(r-4.5-noble)VFP_1.4.3.tar.gz(r-4.4-noble)
VFP_1.4.3.tgz(r-4.4-emscripten)VFP_1.4.3.tgz(r-4.3-emscripten)
VFP.pdf |VFP.html✨
VFP/json (API)

# Install 'VFP' in R:
install.packages('VFP', repos = 'https://cloud.r-project.org')
Datasets:
  • B2mIntra_98 - Example Data B2mIntra_98.VFP (Beta-2-microglobulin RIA) from the Variance Function Program 12.0 from Sadler
  • Glucose - Example Data Glucose.VFP from the Variance Function Program 12.0 from Sadler
  • MultiLotReproResults - Result of a Real-World Precsion Experiment on 10 Samples
  • RealData1 - Result of a Real-World Precsion Experiment on 10 Samples
  • ReproData - Serum Work Area Example Data of a Reproducibility Experiment
  • T4S9_99 - Example Data T4S9_99.VFP (T4 RIA) from the Variance Function Program 12.0 from Sadler

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 246 downloads 6 mentions 31 exports 19 dependencies

Last updated 2 months agofrom:aee9c1ccfc. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-linuxOKMar 28 2025

Exports:add_gridas_rgbcoef.VFPcondition_handlerderive_cxfit_ep17fit_vfpget_matlegend_rmplot.VFPpowfun2simplepowfun3powfun3simplepowfun4powfun4simplepowfun5powfun5simplepowfun6powfun6simplepowfun7powfun7simplepowfun8powfun8simplepowfun9simpleprecision_plotpredict_meanpredict_model_ep17predict.VFPprint.VFPsignif2summary.VFP

Dependencies:bootgnmlatticelme4MASSMatrixminqanlmenloptrnnetnumDerivqvcalcrbibutilsRcppRcppEigenRdpackreformulasrelimpVCA

Precision Profiles with R-Package VFP

Andre Schuetzenmeister

Rendered fromVFP_package_vignette.Rmdusingknitr::rmarkdownon Mar 28 2025.

Last update: 2025-01-27
Started: 2025-01-27

Citation

To cite package ‘VFP’ in publications use:

Schuetzenmeister A, Dufey F (2025). VFP: Variance Function Program. R package version 1.4.3, https://CRAN.R-project.org/package=VFP.

Corresponding BibTeX entry: 

  @Manual{,
    title = {VFP: Variance Function Program},
    author = {Andre Schuetzenmeister and Florian Dufey},
    year = {2025},
    note = {R package version 1.4.3},
    url = {https://CRAN.R-project.org/package=VFP},
  }

Readme and manuals

Help Manual

Help pageTopics
(V)ariance (F)unction (P)rogramVFP-package VFP
Keep backward compatibility by assigning new to old function names when loading the package. Old name did not comply to new CRAN package check rules..onLoad
Add a Grid to an Existing Plot.addGrid add_grid
Convert Color-Name or RGB-Code to Possibly Semi-Transparent RGB-code.as.rgb as_rgb
Example Data B2mIntra_98.VFP (Beta-2-microglobulin RIA) from the Variance Function Program 12.0 from SadlerB2mIntra_98
Back-Transformation of Estimated Coefficients.bt_coef
Extract Model-Coefficients from VFP-Objects.coef.VFP
Condition-Handling Without Losing Information.conditionHandler condition_handler
Determine C5 and C95 or any Concentration Cx.deriveCx derive_cx
Fit CLSI EP17 Model Using log-transformed X and Y.fit.EP17 fit_ep17
Estimate (Im)Precision-Profiles Modeling the Relationship 'Var ~ Mean'.fit.vfp fit_vfp
Transform list of VCA-object into VFP-matrix required for fitting.getMat.VCA get_mat
Example Data Glucose.VFP from the Variance Function Program 12.0 from SadlerGlucose
Add Legend to Right Margin.legend.rm legend_rm
Result of a Real-World Precsion Experiment on 10 SamplesMultiLotReproResults
Plot VFP-Ojbects.plot.VFP
Internal Function Model 2.powfun2simple
Internal Function Model 3.powfun3
Internal Function Model 3.powfun3simple
Internal Function Model 4.powfun4
Internal Function Model 4.powfun4simple
Internal Function Model 5.powfun5
Internal Function Model 5.powfun5simple
Internal Function Model 6.powfun6
Internal Function Model 6.powfun6simple
Internal Function Model 7.powfun7
Internal Function Model 7.powfun7simple
Internal Function Model 8.powfun8
Internal Function Model 8.powfun8simple
Internal Function Model 9.powfun9simple
Precision Performance Plot of Qualitative Tests.precisionPlot precision_plot
Finding X-Value for Given Y-Value Using a Bisection-Approach.predictMean predict_mean
Predict Method for Objects of Class 'modelEP17'.predict_model_ep17
Predict Method for Objects of Class 'VFP'.predict.VFP
Print Objects of Class 'VFP'print.VFP
Result of a Real-World Precsion Experiment on 10 SamplesRealData1
Serum Work Area Example Data of a Reproducibility ExperimentReproData
Adapted Version of Function 'signif'Signif signif2
Summary Objects of Class 'VFP'summary.VFP
Transformation of Coefficients.t_coef
Example Data T4S9_99.VFP (T4 RIA) from the Variance Function Program 12.0 from SadlerT4S9_99