CRAN/E | BivRegBLS

BivRegBLS

Tolerance Interval and EIV Regression - Method Comparison Studies

Installation

About

Assess the agreement in method comparison studies by tolerance intervals and errors-in-variables (EIV) regressions. The Ordinary Least Square regressions (OLSv and OLSh), the Deming Regression (DR), and the (Correlated)-Bivariate Least Square regressions (BLS and CBLS) can be used with unreplicated or replicated data. The BLS() and CBLS() are the two main functions to estimate a regression line, while XY.plot() and MD.plot() are the two main graphical functions to display, respectively an (X,Y) plot or (M,D) plot with the BLS or CBLS results. Four hyperbolic statistical intervals are provided: the Confidence Interval (CI), the Confidence Bands (CB), the Prediction Interval and the Generalized prediction Interval. Assuming no proportional bias, the (M,D) plot (Band-Altman plot) may be simplified by calculating univariate tolerance intervals (beta-expectation (type I) or beta-gamma content (type II)). Major updates from last version 1.0.0 are: title shortened, include the new functions BLS.fit() and CBLS.fit() as shortcut of the, respectively, functions BLS() and CBLS(). References: B.G. Francq, B. Govaerts (2016) doi:10.1002/sim.6872, B.G. Francq, B. Govaerts (2014) doi:10.1016/j.chemolab.2014.03.006, B.G. Francq, B. Govaerts (2014) , B.G. Francq (2013), PhD Thesis, UCLouvain, Errors-in-variables regressions to assess equivalence in method comparison studies, .

Key Metrics

Version 1.1.1
R ≥ 3.1.0
Published 2019-10-10 1654 days ago
Needs compilation? no
License AGPL-3
CRAN checks BivRegBLS results

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Maintainer

Maintainer

Bernard G Francq

BivRegBLS@gmail.com

Authors

Bernard G Francq

cre / aut

Marion Berger

aut

Christophe Agut

ctb

Guy Mathieu

ctb

Arm
Berges

ctb

Franck Pellissier

ctb

Veronique Onado

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BivRegBLS archive

Depends

R ≥ 3.1.0
ellipse