plot_trafolm function

Plot for optimal transformation parameter - linear models

plot_trafolm(lambdarange, lambdaoptim, measoptim, y, x, trafo, method,
  custom_func, custom_func_std)

Arguments

• lambdarange: a numeric vector with two elements defining an interval that is used for the estimation of the optimal transformation parameter.
• lambdaoptim: optimal or given transformation parameter.
• measoptim: measure at the optimal transformation parameter.
• y: dependent variable.
• x: matrix of regressors
• trafo: a character string that selects the transformation.
• 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.