est_lme {trafo} | R Documentation |
Box Cox Estimation - lme
Description
Box Cox Estimation - lme
Usage
est_lme(y, x, formula, data, rand_eff, method = method,
lambdarange = 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) Restricted maximum likelihood approach ("reml"), (ii) Skewness minimization ("skew") and pooled skewness minimization ("pskew"), (iii) Divergence minimization by Kolmogorov-Smirnov ("div.ks"), by Cramer-von-Mises ("div.cvm") or by Kullback-Leibler ("div.kl"). |
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]