Displaying 1 result from an estimated 1 matches for "roaddensity".
2010 Feb 08
0
Poisson and neg. bin. regression with random effects
...elieve I need to account for this by nesting year (as a factor) within body size (also a factor). My first question is whether or not the code below is correct for the models outlined above?
data= (mixed)
fBodySize <- factor(mixed$BodySize)
fYear<-factor(mixed$Year)
groupedData(ABUNDANCE~RoadDensity | fBodySize/fYear, data = mixed)
#random intercept
m1<-lmer(ABUNDANCE~RoadDensity +(1|fBodySize/fYear), family=poisson(log), data = mixed)
# random slope
m2<-lmer(ABUNDANCE~RoadDensity +(-1 + RoadDensity |fBodySize/fYear), family=poisson(log), data = mixed)
#random slope and intercept...