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为什么我的泊松回归的可能性/ AIC是无限的?

我试图评估R中几个回归的模型拟合,我遇到了一个我现在多次遇到的问题:我的Poisson回归的对数似然是无限的.

我正在使用一个非整数因变量(注意:我知道我在这方面做了什么),我想知道是否可能是这个问题.但是,在运行回归时,我没有得到无限的对数似然glm.nb.

重现问题的代码如下.

编辑:当我将DV强制转换为整数时,问题似乎消失了.知道如何从非整数DV的Poissons获取对数似然?

# Input Data
so_data <- data.frame(dv = c(21.0552722691125, 24.3061351414885, 7.84658638053276, 
25.0294679770848, 15.8064731063311, 10.8171744654056, 31.3008088413026, 
2.26643928259238, 18.4261153345417, 5.62915828161753, 17.0691184593063, 
1.11959635820499, 30.0154935602592, 23.0000809735738, 28.4389825676123, 
27.7678405415711, 23.7108405071757, 23.5070651053276, 14.2534787168392, 
15.2058525068363, 19.7449094187771, 2.52384709295823, 29.7081691356397, 
32.4723790240354, 19.2147002673637, 61.7911384519901, 10.5687170234821, 
23.9047421013736, 18.4889651451222, 13.0360878554798, 15.1752866581849, 
11.5205948111817, 31.3539840929108, 31.7255952728076, 25.3034625215724, 
5.00013988265465, 30.2037887018226, 1.86123112349445, 3.06932041603219, 
22.6739418581257, 6.33738321053804, 24.2933951601142, 14.8634827414491, 
31.8302947881089, 34.8361908525564, 1.29606416941288, 13.206844629927, 
28.843579313401, 25.8024295609021, 14.4414831628722, 18.2109680632694, 
14.7092063453463, 10.0738043919183, 28.4124482962025, 27.1004208775326, 
1.31350378236957, 14.3009307888745, 1.32555197766214, 2.70896028922312, 
3.88043749517381, 3.79492216916016, 19.4507965653633, 32.1689088941444, 
2.61278585713499, 41.6955885902228, 2.13466761675063, 30.4207256294235, …
Run Code Online (Sandbox Code Playgroud)

r poisson glm

2
推荐指数
1
解决办法
3240
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glm ×1

poisson ×1

r ×1