oneparam.lm: One parameter transformations for linear models

In trafo: Estimation, Comparison and Selection of Transformations

Description

The function transforms the dependent variable of a linear model using the one parameter transformations. The transformation parameter can either be estimated using different estimation methods or given.

Usage

## S3 method for class 'lm'
oneparam(object, trafo, lambda = "estim", method = "ml",
  lambdarange, plotit = TRUE, custom_trafo = NULL, ...)

Arguments

object	an object of type lm.
trafo	character that determines the selected transformation.
lambda	either a character named "estim" if the optimal transformation parameter should be estimated or a numeric value determining a given transformation parameter. Defaults to "estim".
method	a character string. Different estimation methods can be used for the estimation of the optimal transformation parameter: (i) Maximum likelihood approach ("ml"), (ii) Skewness minimization ("skew"), (iii) Kurtosis optimization ("kurt"), (iv) Divergence minimization by Kolmogorov-Smirnov ("div.ks"), by Cramer-von-Mises ("div.cvm") or by Kullback-Leibler ("div.kl"). Defaults to "ml".
lambdarange	a numeric vector with two elements defining an interval that is used for the estimation of the optimal transformation parameter. Defaults to c(-2, 2).
plotit	logical. If TRUE, a plot that illustrates the optimal transformation parameter or the given transformation parameter is returned.
custom_trafo	a list that determines a one parameter transformation and the standardized one parameter transformation.
...	other parameters that can be passed to the function.

Value

an object of class trafo.

trafo documentation built on May 2, 2019, 2:13 p.m.