admin管理员组

文章数量:1122846

is it possible to some how get or calculate 95 confidence intervals with predict() function for glmer model?

Example for Iris dataset

pois.glmer.Ran.iris <- glmer(Sepal.Width ~ Sepal.Length + (1| Species), data = iris, family = poisson)
#create newdata to test
newdata = data.frame(Sepal.Length = 10, Species = 'virginica')
#use model to predict value using new data
predict(pois.glmer.Ran, newdata, type="response", re.form=NULL, allow.new.levels = TRUE, interval = "prediction", level = 0.95)

Interval and level doesn't seem to work anymore for the predict function but I need to estimate the 95% CI?

本文标签： rCalculate 95 confidence intervals with predict() function for glmer modelStack Overflow

版权声明：本文标题：r - Calculate 95 confidence intervals with predict() function for glmer model? - Stack Overflow 内容由网友自发贡献，该文观点仅代表作者本人， 转载请联系作者并注明出处：http://www.betaflare.com/web/1736304872a1932388.html， 本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。