Displaying 2 results from an estimated 2 matches for "maxitpenalty".
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max_penalty
2009 Jul 24
1
Making rq and bootcov play nice
...n rq.fit.br(x, y, tau = tau, ...) :
unused argument(s) (maxit = 15, penalty.matrix = NULL)
In contrast, the lm.fit function seems to just ignore these arguments,
resulting in the following warning:
10: In fitter(X[obs, , drop = FALSE], Y[obs, , drop = FALSE], maxit = maxit, :
extra arguments maxitpenalty.matrix are just disregarded.
Is there a way that I can either (a) modify bootcov so that it doesn't
pass these arguments or (b) modify rq so that it ignores them?
Thanks in advance,
John Gardner
2009 Jul 24
1
Fwd: Making rq and bootcov play nice
...> unused argument(s) (maxit = 15, penalty.matrix = NULL)
>
> In contrast, the lm.fit function seems to just ignore these arguments,
> resulting in the following warning:
>
> 10: In fitter(X[obs, , drop = FALSE], Y[obs, , drop = FALSE], maxit
> = maxit, :
> extra arguments maxitpenalty.matrix are just disregarded.
>
> Is there a way that I can either (a) modify bootcov so that it doesn't
> pass these arguments or (b) modify rq so that it ignores them?
>
> Thanks in advance,
> John Gardner
>
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