Description Usage Arguments Value References
The function transforms the dependent variable of a linear model using the Box-Cox shift transformation. The shift is not estimated but determined to the value min(y) + 1 in order to make all y positive. The transformation parameter can either be estimated using different estimation methods or given.
1 2 | boxcoxshift(object, lambda = "estim", method = "ml",
lambdarange = c(-2, 2), plotit = TRUE)
|
object |
an object of type lm. |
lambda |
either a character named "estim" if the optimal transformation parameter should be estimated or a numeric value determining a given value for the 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 |
an object of class trafo
.
Box GEP, Cox DR (1964). An Analysis of Transformations. Journal of the Royal Statistical Society B, 26(2), 211-252.
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