[R] zero standard errors with geeglm in geepack
Matthew Dowle
mdowle at mdowle.plus.com
Wed Mar 31 16:59:25 CEST 2010
You may not have got an answer because you posted to the wrong place. Its a
question about a package. Please read the posting guide.
"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
>
> --
> View this message in context:
> http://n4.nabble.com/zero-standard-errors-with-geeglm-in-geepack-tp1695430p1695430.html
> Sent from the R help mailing list archive at Nabble.com.
>
More information about the R-help
mailing list