Description Usage Arguments Value
Wrapper function for estimation methods - linear models
1 |
lambda |
transformation parameter |
y |
vector of response variables |
x |
matrix of regressors |
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". In case of no and log transformation "NA" can be selected since no optimization is necessary for these two transformation types. |
trafo |
a character string that selects the transformation. |
custom_func |
a function that determines a customized transformation. |
custom_func_std |
a function that determines a customized standard transformation. |
Depending on the selected method
the return is a log
likelihood, a skewness, a pooled skewness or a Kolmogorov-Smirnov, Cramer
von Mises or Kullback Leibler divergence.
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