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Kohl, Matthias
(28)
Ruckdeschel, Peter
(12)
Camphausen, Florian
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Stabla, Thomas
(4)
Kroisandt, Gerald
(3)
Desmettre, Sascha
(2)
Massini, Eugen
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Perkins, James
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Pupashenko, Daria
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Bioconductor-Package ReadqPCR: Read qPCR data
(2011)
Perkins, James
;
Kohl, Matthias
;
Abdul Rahman, Nor Izayu
The package provides functions to read raw RT-qPCR data of different platforms.
Bioconductor-Package NormqPCR: Functions for normalisation of RT-qPCR data
(2011)
Perkins, James
;
Kohl, Matthias
Functions for the selection of optimal reference genes and the normalisation of real-time quantitative PCR data.
RobAStRDA: Interpolation Grids for Packages of the 'RobASt' - Family of Packages
(2018)
Kohl, Matthias
;
Spangl, Bernhard
;
Desmettre, Sascha
;
Massini, Eugen
;
Pupashenko, Mykhailo
;
Pupashenko, Daria
;
Kroisandt, Gerald
;
Ruckdeschel, Peter
Includes 'sysdata.rda' file for packages of the 'RobASt' - family of packages; is currently used by package 'RobExtremes' only.
Package RobAStBase: Robust Asymptotic Statistics
(2008)
Kohl, Matthias
;
Ruckdeschel, Peter
;
Pupashenko, Myhailo
;
Kroisandt, Gerald
Base S4-classes and functions for robust asymptotic statistics.
Package ROptRegTS: Optimally robust estimation for regressiontype models
(2007)
Kohl, Matthias
;
Ruckdeschel, Peter
Optimally robust estimation for regression-type models using S4 classes and methods.
Package distrEx: Extensions of package distr
(2005)
Kohl, Matthias
;
Ruckdeschel, Peter
Extends package 'distr' by functionals, distances, and conditional distributions.
Package RandVar: Implementation of random variables by means of S4 classes and methods
(2005)
Kohl, Matthias
;
Ruckdeschel, Peter
Package distrMod: Object orientated implementation of probability models.
(2008)
Kohl, Matthias
;
Ruckdeschel, Peter
Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Package RobRex: Optimally robust influence curves for regression and scale
(2007)
Kohl, Matthias
Functions for the determination of optimally robust influence curves in case of linear regression with unknown scale and standard normal distributed errors where the regressor is random.
Package mpe: Multiple Primary Endpoints
(2017)
Kohl, Matthias
Functions for calculating sample size and power for clinical trials with multiple (co-)primary endpoints.
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