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Results tagged with bugs
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user 13267
BUGS is an acronym for Bayesian inference Using Gibbs Sampling; BUGS is also a software package for doing this. Use for all versions of BUGS, also WINBUGS and OpenBUGS.
1
vote
SV model estimation in R using tsbugs
Tell the bugs command which parameters you want to monitor param=c("psi0", "psi1", "tau").... … sv0.bug<-bugs(data=sv0$data,
inits=list(inits(sv0)),
param=c("psi0", "psi1", "tau"),
model="sv0.txt",
n.iter=11000, n.burnin=10000, n.chains=1) …
- 535
0
votes
Specification of logical node (with distribution?) in WINBUGS
The multiple definitions of node error comes about from you defining a and b twice.
I strongly suspect that WinBUGS can not handle either of your possible a and b assignments as a involves b and b in …
- 535
2
votes
Accepted
WinBUGS: Multiple definitions of a node
I don't know about HMM, but I can see that in every loop of i you are defining State[j]. This is causing the error in WinBUGS as it can not sample from each node (such as State[2]) more than once in e …
- 535
3
votes
WinBUGs - Code for time series models
Alternatively, BUGS code for some time series models can be produced in my tsbugs package for R (and then run in BUGS via R2WinBUGS or similar such packages). …
- 535
0
votes
Accepted
Multiplying a matrix by a scalar which has a prior distribution in OpenBUGS
You need to construct covNew element by element
for(i in 1:5){
for(j in 1:5){
covNew[i,j]<-tau*covPri[i,j]
}
}
BUGS acts a bit differently than R when it comes to constructing matrices/arrays. …
- 535
5
votes
Accepted
Thinning chains in BUGS/JAGS
Less short answer: If you were to run a BUGS model through R2WinBUGS or R2OpenBUGS (or view a summary of WinBUGS output) with the arguments you stated:
n.iter=5000, n.burnin=5000, n.thin=2
you would …
- 535