> c1<-makeCluster(4)
> binary_China_data$binary_anemia<-as.numeric(binary_China_data$binary_anemia)
> fit<-glmm(binary_anemia~0+PM2.5+SEX+NA13+NA14+nA4b+AA6+BG9+group_age,
+ random=list(binary_anemia~0+pro),varcomps.names=c("pro"),data=China_data,m=100,
+ family.glmm= bernoulli.glmm,doPQL=TRUE,debug=TRUE,cluster=c1)
> stopCluster(c1)
> summary(fit)
Fixed Effects:
Estimate Std. Error z value Pr(>|z|)
PM2.5 0 0 -1.326 0.18474
SEX1 0 0 0.629 0.52932
SEX2 0 0 0.359 0.71962
NA131 0 0 -0.922 0.35644
NA141 0 0 2.381 0.01728 *
nA4b1 0 0 -1.887 0.05915 .
AA61 0 0 2.750 0.00596 **
BG91 0 0 0.993 0.32090
group_age1 0 0 -6.646 3.01e-11 ***
group_age2 0 0 -8.260 < 2e-16 ***
group_age3 0 0 -1.912 0.05584 .
> coef(fit)
PM2.5 SEX1 SEX2 NA131 NA141 nA4b1 AA61 BG91
0.008826033 -0.669432525 -0.814801262 0.017406494 0.309346744 -0.386803903 0.397771561 0.092654976
group_age1 group_age2 group_age3 group_age4
-0.687794855 -1.466765284 -2.022706397 -2.680593241
我是用glmm这个包进行混合效应模型分析,但是为什么我的summary(fit)里面固定效应的的系数都为0,但是运行这个包中的例子不会出现这个问题。可以通过coef(fit)查看系数,另外这个包运行很慢,还不如使用lme4?
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