
I am running the following model to determine if there is a trend over time (YrC):

#1
model5.3=lme(RPD~YrC+mgmt3*LnGrad+ Bf + Precip,random=list(
  ~1|mgmt3,1~(YrC)|SiteID),na.action=na.omit, data=habitat2.a,method="REML")


I want to see if there is better model performance if time is not considered. Can I accomplish this by dropping time in the fixed effects?

#2
model5.3=lme(RPD~ mgmt3*LnGrad+ Bf + Precip,random=list(
  ~1|mgmt3,1~(YrC)|SiteID),na.action=na.omit, data=habitat2.a,method="REML")

Or do I have to drop it in the random effects as well:

#3
model5.3=lme(RPD~mgmt3*LnGrad+ Bf + Precip,random=list(
  ~1|mgmt3,~1|SiteID),na.action=na.omit, data=habitat2.a,method="REML") # for graph - 5143.13**********


What is the difference in these approaches?


Thanks,

Christy Meredith









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