Package: VFP 1.4.4

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_1.4.4.tar.gz
VFP_1.4.4.tar.gz(r-4.7-any)VFP_1.4.4.tar.gz(r-4.6-any)
VFP_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
VFP/json (API)

# Install 'VFP' in R:

install.packages('VFP', repos = c('https://cran.r-universe.dev', '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:

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

3.06 score 19 scripts 359 downloads 6 mentions 43 exports 20 dependencies

Last updated from:fc6b2e34c6. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	150
source / vignettes	OK	203
linux-release-x86_64	OK	150
wasm-release	OK	151

Exports:add_grid addGrid as_rgb coef.VFP condition_handler derive_cx deriveCx fit_ep17 fit_vfp fit.EP17 fit.vfp get_mat get_model get_mon getMat.VCA legend_rm legend.rm plot.VFP powfun2simple powfun3 powfun3simple powfun4 powfun4simple powfun5 powfun5simple powfun6 powfun6simple powfun7 powfun7simple powfun8 powfun8simple powfun9simple precision_plot precisionPlot predict_mean predict_model_ep17 predict.VFP predictMean print.VFP residuals.VFP Signif signif2 summary.VFP

Dependencies:boot gnm lattice lme4 MASS Matrix minqa nlme nloptr nnet numDeriv qvcalc rbibutils Rcpp RcppEigen Rdpack reformulas relimp rlang VCA

Precision Profiles with R-Package VFP

Introduction | How To Generate a Precision Profile | Plotting Precision Profiles | Functional Sensitivity and More | C5 and C95 for Qualitative Tests

Rendered fromVFP_package_vignette.Rmdusingknitr::rmarkdown

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

Help page	Topics
(V)ariance (F)unction (P)rogram	VFP-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 Sadler	B2mIntra_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
Select the Best Fitting Model.	get_model
Determine Monotony of Vector.	get_mon
Example Data Glucose.VFP from the Variance Function Program 12.0 from Sadler	Glucose
Add Legend to Right Margin.	legend.rm legend_rm
Result of a Real-World Precsion Experiment on 10 Samples	MultiLotReproResults
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 Samples	RealData1
Serum Work Area Example Data of a Reproducibility Experiment	ReproData
Residuals Method for Objects of Class 'VFP'.	residuals.VFP
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 Sadler	T4S9_99

Package: VFP 1.4.4

VFP: Variance Function Program

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)