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.
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. >