testTransform computes likelihood ratio tests for particular values of the power parameter
based on powerTransform objects.
testTransform(object, lambda)# S3 method for powerTransform
testTransform(object, lambda=rep(1, dim(object$y)[2]))
# S3 method for lmerModpowerTransform
testTransform(object, lambda=1)
# S3 method for skewpowerTransformlmer
testTransform(object, lambda=1)
An object created by a call to
estimateTransform or powerTransform.
A vector of responses of length equal to the number of variables to be transformed.
A data frame with one row giving the value of the test statistic, its degrees of freedom, and a p-value. The test is the likelihood ratio test, comparing the value of the log-likelihood at the hypothesized value to the value of the log-likelihood at the maximum likelihood estimate.
The function powerTransform is used to estimate a power
transformation for a univariate or multivariate sample or multiple linear
regression problem, using the method of Box and Cox (1964). It is usual to
round the estimates to nearby convenient values, and this function is use to
compulte a likelihood ratio test for values of the transformation parameter
other than the ml-type estimate.
For one-parameter families of transformations, namely the Box-Cox power family link{bcPower} and the Yeo-Johnson power family yjPower, this function computes a test based on twice the difference in the log-likelihood between the maximum likelihood-like estimate and the log-likelihood evaluated at the value of lambda specified.
For the skew power family, the test is based on the profile loglikelihood maximizing over the location (or start) parameter gamma. Thus, the start parameter is treated as a nusiance parameter.
Box, G. E. P. and Cox, D. R. (1964) An analysis of transformations. Journal of the Royal Statisistical Society, Series B. 26 211-46.
Cook, R. D. and Weisberg, S. (1999) Applied Regression Including Computing and Graphics. Wiley.
Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.
Weisberg, S. (2014) Applied Linear Regression, Fourth Edition, Wiley.
powerTransform and skewPower for examples of the use of this function and other tests that might be of interest in some circumstances.
summary(a3 <- powerTransform(cbind(len, adt, trks, sigs1) ~ htype, Highway1))
# test lambda = (0 0 0 -1)
testTransform(a3, c(0, 0, 0, -1))
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