logtrans {MASS} | R Documentation |
Find and optionally plot the marginal (profile) likelihood for alpha
for a transformation model of the form log(y + alpha) ~ x1 + x2 + ...
.
logtrans(object, ...) ## Default S3 method: logtrans(object, ..., alpha = seq(0.5, 6, by = 0.25) - min(y), plotit = TRUE, interp =, xlab = "alpha", ylab = "log Likelihood") ## S3 method for class 'formula' logtrans(object, data, ...) ## S3 method for class 'lm' logtrans(object, ...)
object |
Fitted linear model object, or formula defining the untransformed
model that is |
... |
If |
alpha |
Set of values for the transformation parameter, alpha. |
plotit |
Should plotting be done? |
interp |
Should the marginal log-likelihood be interpolated with a spline
approximation? (Default is |
xlab |
as for |
ylab |
as for |
data |
optional |
List with components x
(for alpha) and y
(for the marginal
log-likelihood values).
A plot of the marginal log-likelihood is produced, if requested, together with an approximate mle and 95% confidence interval.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
logtrans(Days ~ Age*Sex*Eth*Lrn, data = quine, alpha = seq(0.75, 6.5, len=20))