est_lm {trafo} | R Documentation |
Estimation of optimal transformation parameter - lm
Description
Estimation of optimal transformation parameter - lm
Usage
est_lm(y, x, method, lambdarange, trafo, custom_func, custom_func_std, ...)
Arguments
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". |
lambdarange |
range for the estimation parameter expr(lambda) - default c(-2, 2) |
Value
modelt An object of type lm
employing the transformed vector yt
as the response variable
[Package trafo version 1.0.1 Index]