You suggest the solution yourself: transform the equation to have all
parameters at the right, thus:
y ~ ((b0 + b1 * x) * t + 1) ^ 1/t
Bit this is still not correct, since the transformation changes
the scale of the variance, and lesat squares will not be correct.
There is needed a factor
Dear r-help members
I posted this message already yesterday, but don't know whether it
reached you since I joined the group only yesterday.
I would like to estimate the boxcox transformed model
(y^t - 1)/t ~ b0 + b1 * x.
Unfortunately, R returns with an error message when I try to
perform this
On Thu, 20 Nov 2003, Philippe Grosjean wrote:
Dear r-help members
I posted this message already yesterday, but don't know whether it
reached you since I joined the group only yesterday.
I would like to estimate the boxcox transformed model
(y^t - 1)/t ~ b0 + b1 * x.
Unfortunately, R
On Thu, 20 Nov 2003, Prof Brian Ripley wrote:
Now nlrq uses a different criterion and Philippe's suggestion may work
there. I can't tell quickly: the help page does not say what the
criterion is. But if those are the same, then I suspect the criterion is
uninteresting as a way to
On 20 Nov 2003 at 15:24, Philippe Grosjean wrote:
Dear r-help members
I posted this message already yesterday, but don't know whether it
reached you since I joined the group only yesterday. I would like to
estimate the boxcox transformed model
(y^t - 1)/t ~ b0 + b1 * x.
Unfortunately, R
