Description Usage Arguments Value References Examples
View source: R/bickeldocksum.R
The function transforms the dependent variable of a linear model using the Bickel-Doksum transformation. The transformation parameter can either be estimated using different estimation methods or given.
1 2 | bickeldoksum(object, lambda = "estim", method = "ml",
lambdarange = c(1e-11, 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.
The Bickel-Doksum transformation is only defined for positive values of
lambda. Defaults to |
plotit |
logical. If |
An object of class trafo
. Methods such as
as.data.frame.trafo
and print.trafo
can
be used for this class.
Bickel PJ, Doksum KA (1981). An analysis of transformations revisited. Journal of the American Statistical Association, 76, 296-311.
1 2 3 4 5 6 7 8 |
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