A spike train with 505 events, starting at: 0.594 and ending at: 58.585 (s).
The mean ISI is: 0.115 and its SD is: 0.36 (s).
The shortest interval is: 0.008 and the longest is: 3.811 (s).
The best model with 2 parameters is: llogis.
Its estimated parameters values and associated se are:
gssanova0 fit summary (pre-binning bin width: 0.018):
Call:
gssanova0(formula = Count ~ Time, family = "poisson", data = df, maxiter = 60)
(Dispersion parameter for poisson family taken to be 1)
Working residuals (weighted):
Min 1Q Median 3Q Max
-0.4781088 -0.1435508 0.0404707 0.1604178 0.4094974
Residual sum of squares: 14.78943
Deviance residuals:
Min 1Q Median 3Q Max
-1.778573 -0.481944 0.132152 0.517011 1.299627
Deviance: 15.28675
Null deviance: 15.60775
Penalty associated with the fit: 0.02021284
Number of performance-oriented iterations: 17
Smoothed and "classical" cross-intensity plots:
Generated on: Tue Oct 28 17:04:14 2008 - R2HTML