Description: Calculation of signed root deviance profiles for linear
combinations of parameters in a glm. Multiple tests and
simultaneous confidence intervals are provided.
Depends: methods, lattice, graphics, stats4, splines, mvtnorm,

Depends: ggplot2, splines, mvtnorm, multcomp, MASS

Description: Calculation of signed root deviance profiles for linear combinations of parameters in a glm. Multiple tests and simultaneous confidence intervals are provided.

Depends: quadprog, ggplot2, splines, mvtnorm, multcomp, MASS

Description: Calculation of signed root deviance profiles for linear combinations of parameters in a generalized linear model. Multiple tests and simultaneous confidence intervals are provided.
Depends: quadprog, ggplot2, splines, mvtnorm

Title: Testing Generalized Linear Hypotheses for Generalized Linear

Suggests: knitr, markdown, multcomp, MASS

Description: This package provides regression methods to quantify the
relation between two measurement methods. In particular it
addresses regression problems with errors in both variables and
without repeated measurements. It implements the CLSI
recommendations for analytical method comparison and bias
Collate: "mcrMisc.r" "mcLinReg.r" "mcDeming.r" "mcWDeming.r"

Author: Ekaterina Manuilova <ekaterina.manuilova@roche.com> Andre Schuetzenmeister <andre.schuetzenmeister@roche.com> Fabian Model <fabian.model@roche.com>
Description: This package provides regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.

Description: Regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.