est_lme: Box Cox Estimation - lme

In akreutzmann/trafo: Estimation, Comparison and Selection of Transformations

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

akreutzmann/trafo documentation built on Sept. 14, 2020, 9:03 p.m.