[R] zero standard errors with geeglm in geepack

Matthew Dowle mdowle at mdowle.plus.com
Wed Mar 31 16:59:25 CEST 2010


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"miriza" <mirizar at sfwmd.gov> wrote in message 
news:1269886286228-1695430.post at n4.nabble.com...
>
> Hi!
>
> I am using geeglm to fit a Poisson model to a timeseries of count data as
> follows.  Since there are no clusters I use 73 values of 1 for the ids. 
> The
> problem I have is that I am getting standard errors of zero for the
> parameters.  What am I doing wrong?
> Thanks, Michelle
>>  N_Base
> [1]  95  85 104  88 102 104  91  88  85 115  96  83  91 107  96 116 118 
> 103
> 89  88 101 117  82  80  83 103 115 119  95  90  82  91 108 115  93  96  72
> [38]  98  95  98  97 104  86 107  92  94  95 100 107  76 104 101  80 102 
> 100
> 91  96  89  71 109  97 113  99 127 115  91  81  73  69  92  90  78  57
>> Year
> [1] 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945
> 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960
> 1961
> [31] 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975
> 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990
> 1991
> [61] 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2006
>
> tes=geese(formula = N_Base ~ Year, id = rep(1, 73), family = "poisson",
> corstr = "ar1")
>> summary(tes)
>
> Call:
> geese(formula = N_Base ~ Year, id = rep(1, 73), family = "poisson",
>    corstr = "ar1")
>
> Mean Model:
> Mean Link:                 log
> Variance to Mean Relation: poisson
>
> Coefficients:
>            estimate san.se wald p
> (Intercept)   7.1131      0  Inf 0
> Year         -0.0013      0  Inf 0
>
> Scale Model:
> Scale Link:                identity
>
> Estimated Scale Parameters:
>            estimate san.se wald p
> (Intercept)     1.79      0  Inf 0
>
> Correlation Model:
> Correlation Structure:     ar1
> Correlation Link:          identity
>
> Estimated Correlation Parameters:
>      estimate san.se wald p
> alpha    0.187      0  Inf 0
>
> Returned Error Value:    0
> Number of clusters:   1   Maximum cluster size: 73
>
> -- 
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