https://github.com/cran/MuMIn
Tip revision: b2a6eed9b2d1582d6c2b9701fca08b54fc29aa40 authored by Kamil BartoĊ on 07 January 2016, 10:42:47 UTC
version 1.15.6
version 1.15.6
Tip revision: b2a6eed
singularities.R
library(MuMIn)
options(na.action = "na.fail")
set.seed(1)
zz <- data.frame(x=runif(15), f1=gl(3,5), f2=factor(rep(1:2,c(10,5))))
zz$y <- 100*zz$x + as.numeric(zz$f1)*10 * as.numeric(zz$f2)
nafit <- lm(y~f1*f2*x, zz)
summary(nafit)
coef(nafit)
gm <- get.models(dredge(nafit), subset = NA)
ma <- model.avg(gm)
summary(ma)
coef(ma, T)
confint(ma)
predict(ma)
#Sys.sleep(5)