logshift

object

<p>The function transforms the dependent variable of a linear model using the 
Log shift transformation. The shift parameter is determined by y + shift &gt; 0.</p>

internal

Estimation, selection and comparison of several families of
transformations. The families of transformations included in the package are
the following: Bickel-Doksum (Bickel and Doksum 1981 <doi:10.2307/2287831>),
Box-Cox, Dual (Yang 2006 <doi:10.1016/j.econlet.2006.01.011>),
Glog (Durbin et al. 2002 <doi:10.1093/bioinformatics/18.suppl_1.S105>),
gpower (Kelmansky et al. 2013 <doi:10.1515/sagmb-2012-0030>),
Log, Log-shift opt (Feng et al. 2016 <doi:10.1002/sta4.104>),
Manly, modulus (John and Draper 1980 <doi:10.2307/2986305>),
Neglog (Whittaker et al. 2005 <doi:10.1111/j.1467-9876.2005.00520.x>),
Reciprocal and Yeo-Johnson. The package simplifies to
compare linear models with untransformed and transformed dependent variable
as well as linear models where the dependent variable is transformed with
different transformations. Furthermore, the package employs maximum likelihood
approaches, moments optimization and divergence minimization to estimate the optimal
transformation parameter.

Ann-Kristin Kreutzmann

trafo

Estimation, Comparison and Selection of Transformations

Lily Medina

Piedad Castro

Natalia Rojas-Perilla

logshift function

Log shift transformation for linear models — logshift

Log shift transformation for linear models

logshift: Log shift transformation for linear models

Description

Usage

Arguments

Value