VFP1.4.4 package

Variance Function Program

add_grid

Add a Grid to an Existing Plot.

predict_model_ep17

Predict Method for Objects of Class 'modelEP17'.

VFP-Package

(V)ariance (F)unction (P)rogram

predict_mean

Finding X-Value for Given Y-Value Using a Bisection-Approach.

powfun3simple

Internal Function Model 3.

powfun4

Internal Function Model 4.

powfun4simple

Internal Function Model 4.

powfun5

Internal Function Model 5.

powfun5simple

Internal Function Model 5.

powfun6

Internal Function Model 6.

powfun6simple

Internal Function Model 6.

powfun7

Internal Function Model 7.

powfun7simple

Internal Function Model 7.

powfun8

Internal Function Model 8.

powfun8simple

Internal Function Model 8.

powfun9simple

Internal Function Model 9.

as_rgb

Convert Color-Name or RGB-Code to Possibly Semi-Transparent RGB-code.

bt_coef

Back-Transformation of Estimated Coefficients.

coef.VFP

Extract Model-Coefficients from VFP-Objects.

condition_handler

Condition-Handling Without Losing Information.

derive_cx

Determine C5 and C95 or any Concentration Cx.

dot-onLoad

Keep backward compatibility by assigning new to old function names whe...

fit_ep17

Fit CLSI EP17 Model Using log-transformed X and Y.

precision_plot

Precision Performance Plot of Qualitative Tests.

fit_vfp

Estimate (Im)Precision-Profiles Modeling the Relationship 'Var ~ Mean'...

get_mat

Transform list of VCA-object into VFP-matrix required for fitting.

get_model

Select the Best Fitting Model.

get_mon

Determine Monotony of Vector.

legend_rm

Add Legend to Right Margin.

MulitLotReproResults

Result of a Real-World Precsion Experiment on 10 Samples

plot.VFP

Plot VFP-Ojbects.

powfun2simple

Internal Function Model 2.

powfun3

Internal Function Model 3.

predict.VFP

Predict Method for Objects of Class 'VFP'.

print.VFP

Print Objects of Class 'VFP'

residuals.VFP

Residuals Method for Objects of Class 'VFP'.

signif2

Adapted Version of Function 'signif'

summary.VFP

Summary Objects of Class 'VFP'

t_coef

Transformation of Coefficients.

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.

  • Maintainer: Andre Schuetzenmeister
  • License: GPL (>= 2)
  • Last published: 2025-04-08