Displaying 3 results from an estimated 3 matches for "l_f".
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2008 Mar 28
0
Estimating variance components of groups of covariates within regression model
...model dependent variable ?Y? based on six covariates as
follows: (these are land use types measured at three scales for each Y,
"Local", "Riparian", and "Catchment" - these are not nested as there is a
unique area for each Y - and Y is a measure of stream health)
L_F=c(3.36,-0.5,-0.91,1.55,-0.02,-0.91,-0.91,-0.91,-0.07,1.69)
L_W =c(-0.3,-0.3,-0.3,4.55,3.2,-0.3,-0.3,-0.3,8.55,-0.3)
R_A = c(-1.4,-1.06,-1.43,-1.72,-0.78,-1.72,-1.72,-1.72,-0.74,-1.32)
R_W = c(-0.77,0.62,0.1,-0.77,2.85,-0.77,-0.77,-0.77,2.27,-0.45)
C_U = c(-0.19,-0.2,1.88,2.41,0.11,2.33,2.38,2.5,0.2...
2013 Apr 10
0
mle function
...tors).
By writing the code below, I just obtain the result for t=1.
################
library(stats4)
likelihood <- function(v1,v2,v3){
for (t in 1:136){
return(-(sum(E1_f[t,]*(v1*teta1[] + v2*teta2[] + v3*teta3[]) -
E_f[t,]*log(1 + exp(v1*teta1[] + v2*teta2[] + v3*teta3[])))))
}
}
L_f <- mle(minuslog=likelihood, start=list(v1=1, v2=2, v3=3))
x <- summary(L_f)
################
What should I change in the code?
And how can I store the values of v1(t), v2(t) and v3(t) in 3 vectors,
in order to use them after?
Thank you very much.
Roger
2008 Jun 30
4
Rebuild of kernel 2.6.9-67.0.20.EL failure
Hello list.
I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without
modifications.
How did I try it?
Created a (non-root) build environment (not a mock )
Installed the kernel.scr.rpm and did a
rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee
prep-out.log
The build failed at the end:
Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL
Checking