Displaying 2 results from an estimated 2 matches for "model1a".
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model1
2005 Jun 26
4
Mixed model
...e clinical group
and trial (1-7). The fixed factors are the measure and group. The random
factors are the intercept and id and group.
I tried using 2 functions to calculate mixed effects.
Following previous correspondence .
Dataset <- read.table("C:/Program Files/R/rw2011/data/miss/model1a.dat",
header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE)
attach(Dataset)
require (nlme)
with(Dataset, table(runnb, id, grp))
b.lvls <- table(Dataset$runnb)
nb <- length(b.lvls)
fit <- vector(mode="list", nb)
for(...
2010 Feb 14
1
how to delete a parameter from list after running negative binomial error
...error. I am having a
bit of a problem when updating the model to remove parameters that I no do
no autocorrelate with other variables (I have used a autocorrelation
function for this).
So my first model looks like this:
model1.glm.nb<-glm.nb(ozone ~ ., data=climate.dat)
summary(model1.glm.nb)
model1AIC.glm.nb<-stepAIC(model1.glm.nb)
When I run it, it doesn't give me any significance. So I run a second model,
with my autocorrelation table, and remove one more variable that does not
autocorrelate with other (anything below .07)
model2.glm.nb2 <- update(model1.glm.nb, ~ . - rain, data=...