h****o
发帖数: 119 | 1 如果现在有两个MODEL, 它们是HIERARCHICAL的,怎么用LIKELIHOOD RATIO TEST 来判断
复杂的模型是否比简单的模型有显著性提高呢? 现在关键是不知道如何用R 或SAS 来得
到模型的LIKELIHOOD SCORE. 请教这里的朋友,谢谢! | l********s
发帖数: 430 | 2 你是说nested？
sas一般会output -2 log L的
R好像也可以。 | y*****y
发帖数: 98 | | w**********y
发帖数: 1691 | 4 The easiest way might be AIC, BIC..
Further, Bayes Factor..But I don't think you can do that directly in R and
SAS...
Further, en, that is in the research of model selection.
I just realized, what you mean by HIERARCHICAL? they are hierarchical models?
Or do you mean they are nested?== Model A <=Model B?
If so, take suggestion from lapringles ..Fit each model by SAS, then get the
score of -2logL | h****o
发帖数: 119 | 5 Yes, I mean nested. Now I have 3 nested nonlinear models. I want to know if
I use "nlin" function to fit my data, how can I get the likelihood score of
each model, then use the score of -2logL? Thanks a lot!
models?
the
【在 w**********y 的大作中提到】
: The easiest way might be AIC, BIC..
: Further, Bayes Factor..But I don't think you can do that directly in R and
: SAS...
: Further, en, that is in the research of model selection.
: I just realized, what you mean by HIERARCHICAL? they are hierarchical models?
: Or do you mean they are nested?== Model A <=Model B?
: If so, take suggestion from lapringles ..Fit each model by SAS, then get the
: score of -2logL
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