Dear Vito,
if we don�t know the number of break points �a priori�, and the davies.test
function returns a significant result, how can I obtain the exact number of
break points for a �lm�? I would to know this in order to specify in a properly
way the �npsi� option in the segmented function.
Th
Dear Vito,
if we don�t know the number of break points �a priori�, and the davies.test
function returns a significant result, how can I obtain the exact number of
break points for a �lm�? I would to know this in order to specify in a properly
way the �npsi� option in the segmented function.
Th
dear Greg,
> It does not, however give me
> Pr(>|t|) for the break point coefficients.
Of course a test H_0: breakpoint=0 is meaningless..
> I need to answer the question
> H:0 Beta0=Beta with a certainty metric,
sorry, who is your "Beta0"?
davies.test() tests the hypothesis H0: leftSlope=right
My data:
I have raw data points that form a logit style curve as if they were a time
series. Which is to say they form 3 distinct lines with 3 distinct slopes
in backwards z pattern. A certain class of my data looks essentially flat
to the eye with marginal oscillation. What is important to me is
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