Regression splines

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  1. Mikko Rönkkö
  2. research methods
  3. statistical analysis
  4. organizational research
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Комментарии
Автор

Very nice explanation for a statistician working with R, very clear and understandable!

Titolius
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Thank you for this! "Excess slope" really made everything click:) good job!

lucadann
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Hoy did you calculate knot in the example?

omarmolina
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Thanks for the nice explanation! At 8:15, I have a question concerning the use of nls in fitting the linear spline model. The nls function implements the Gauss-Newton algorithm, which essentially involves the Jacobian matrix of the regression function wrt the parameters. One underlying assumption is that the regression function is smooth (to be exact, having the first derivative) as a function of parameters. However, for the threshold c, the regression function is not smooth. This would cause a glitch in methodology, thought the R code might work out fine. Am I right?

shakesbeer
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Thank you for this. but i have a lot of question i don't know if i can have your email to discuss i will appreciate thank you.

michmartin