Description Usage Arguments Value
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.
1 2 3 |
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 |
plotit |
logical. If |
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. |
an object of class trafo
.
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