On 12-12-19 5:02 PM, Jacob Wegelin wrote:
Your solution works beautifully for predict.lme in the same data that
were used to compute the model. But what if I want to compute the
population fitted values in newdata?
I didn't offer a solution, I offered a workaround for a bug. The
solution is
Your solution works beautifully for predict.lme in the same data that
were used to compute the model. But what if I want to compute the
population fitted values in newdata? In the expanded example below,
predict.lm is able to find the object called fixed. But predict.lme is
unable to find it
I want to fit a series of lme() regression models that differ only in the
degrees of freedom of a ns() spline. I want to use a wrapper function to do
this. The models will be of the form
y ~ ns(x, df=splineDF)
where splineDF is passed as an argument to a wrapper function.
This works fine if
On 06/12/2012 2:28 PM, Jacob Wegelin wrote:
I want to fit a series of lme() regression models that differ only in the
degrees of freedom of a ns() spline. I want to use a wrapper function to do
this. The models will be of the form
y ~ ns(x, df=splineDF)
where splineDF is passed as an argument
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