Hi,
sorry for my delay..
In addition to valuable Achim's comments.
As Achim said, you can try different starting values to assess how the
final solution depends on them. Then select one having the best logLik
(or the minimum RSS).
Everybody dealing with nonlinear models knows that the logLik
Hello, R users,
I applied segmented regression method contributed by Muggeo and got
different slope estimates depending on the initial break points. The results
are listed below and I'd like to know what is a reasonable approach handling
this kinds of problem. I think applying various initial
You might try rqss() in the quantreg package. It gives piecewise
linear fits
for a nonparametric form of median regression using total variation
of the
derivative of the fitted function as a penalty term. A tuning parameter
(lambda) controls the number of distinct segments. More details
On Wed, 8 Jun 2005 08:25:16 -0400 Park, Kyong H Mr. RDECOM wrote:
Hello, R users,
I applied segmented regression method contributed by Muggeo and got
different slope estimates depending on the initial break points. The
results are listed below and I'd like to know what is a reasonable
