search for: dbern

Displaying 7 results from an estimated 7 matches for "dbern".

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2012 May 23
1
how a latent state matrix is updated using package R2WinBUGS
...phi ~ dunif(0, 1) # Prior for mean survival mean.p ~ dunif(0, 1) # Prior for mean recapture # Likelihood for (i in 1:nind){ # Define latent state at first capture z[i,f[i]] <- 1 for (t in (f[i]+1):n.occasions){ # State process z[i,t] ~ dbern(mu1[i,t]) mu1[i,t] <- phi[i,t-1] * z[i,t-1] # Observation process y[i,t] ~ dbern(mu2[i,t]) mu2[i,t] <- p[i,t-1] * z[i,t] } #t } #i } # Call WinBUGS from R cjs.c.c <- bugs( data = list(z = known.z, <...
2012 Jan 27
0
Error in JAGS, cannot monitor z
...or for mean survival beta[t] ~ dbeta(1, 1) # Prior for mean recapture } # Prior for mean recapture # Likelihood for (i in 1:nind){ # Define latent state at first capture z[i,f[i]] <- 1 for (t in (f[i]+1):n.occasions){ # State process z[i,t] ~ dbern(mu1[i,t]) mu1[i,t] <- phi[i,t-1] * z[i,t-1] # Observation process y[i,t] ~ dbern(mu2[i,t]) mu2[i,t] <- p[i,t-1] * z[i,t] } #t } #i } ni <- 10000 nt <- 6 nb <- 5000 nc <- 3 cjs.ran <- jags.model(file="cjs22time.jags",data=bugs.data, n...
2011 May 27
1
Error with BRugs 0.53 and 0.71, on Win7 with R 2.12.2 and 2.13.0 (crashes R GUI)
...d_packages > library(BRugs) Loading required package: coda Loading required package: lattice Welcome to BRugs running on OpenBUGS version 3.0.3 > # Specify the model in BUGS language, but save it as a string in R: > modelString = " + model { + for ( i in 1:nFlips ) { + y[i] ~ dbern( theta ) + } + theta ~ dunif( priorA , priorB ) + priorA <- 0.6 + priorB <- 1.0 + } + " # close quote to end modelString > > # Write the modelString to a file, using R commands: > writeLines(modelString,con="model3.txt") > # Use BRugs to send the model.tx...
2010 Oct 15
1
Problem using BRugs
...o=rho_o_0, rho_d=rho_d_0, rho_w=rho_w_0)} parameters<-c("beta", "rho_o", "rho_d", "rho_w") probit.sim<-BRugsFit(data,inits,parameters,modelFile="spatial.openbugs.txt",numChains=1,nIter=2000) # my model model { for (i in 1:676) { y[i] ~ dbern(p[i]) wwy[i]<- inprod(ww[i, 1:676] , y[]) woy[i]<- inprod(wo[i, 1:676] , y[]) wdy[i]<- inprod(wd[i, 1:676] , y[]) probit(p[i])<- rho_o * woy[i] + rho_d * wdy[i] + rho_w * wwy[i] + beta[1] + beta[2] * cap2[i] + beta[3] * pol2[i] + beta[4] * cap1[i] + beta[5] * pol1[i] + beta[6] * g[i...
2012 Oct 26
1
Openbugs- Array Index
...# proportion of number of species among groups for(i in 1:g){ prop[i] ~ dgamma(1,1) prob[i] <- prop[i]/sum(prop[]) } for(i in 1:(S+m)){ r[i] ~ dnorm(mu.r,tau.r) I(-2,2)# generating parameters related to detectability p[i] <- 1/(1+exp(-(r[i])))# individual-level detection probability w[i] ~ dbern(psi)# indicator variable whether each species is exposed to sampling or not G[i] ~ dcat(prob[1:g])# group identity for(h in 1:2){# habitat effects habitat.eff[i,h] ~ dnorm(mu.h[G[i],h],tau.h[G[i],h]) I(-2,2) } for(j in 1:4){# fitting process # ecological process model lambda[i,j] <- exp(habita...
2010 Apr 19
1
BRugs
Hi. I am new here, and I am writing this Winbugs code with BRugs. n=length(bi.bmi) Lagegp=13 Lgen=2 Lrace=5 Lstra=15 Lpsu=2 #model gen x race bi.bmi.model=function(){ # likelihood for (i in 1:n){ bi.bmi[i]~ dbern(p[i]) logit(p[i])<- a0 + a1[agegp[i]]+a2[gen[i]]+a3[race[i]] + a12[agegp[i], gen[i]] + gam[stra[i]]+ u[psu[i],stra[i]] } # constraints for a1, a2, a3, a12 a1[1]<-0.0 a2[1]<-0.0 a3[1]<-0.0 a12[1,1]<-0.0 # for(k in 2:Lgen){ a12[1,k]<-0.0} for(j in 2:13){ a12[j,1]<-0....
2012 Jul 13
3
Help with R2 OpenBUGs
...tion of number of species among groups for(i in 1:g){ prop[i] ~ dgamma(1,1) prob[i] <- prop[i]/sum(prop[]) } for(i in 1:(S+m)){ r[i] ~ dnorm(mu.r,tau.r) I(-5,5) # generating parameters related to detectability p[i] <- 1/(1+exp(-(r[i]))) # individual-level detection probability w[i] ~ dbern(psi) # indicator variable whether each species is exposed to sampling or not G[i] ~ dcat(prob[1:g]) # group identity for(h in 1:3){ # habitat effects habitat.eff[i,h] ~ dnorm(mu.h[G[i],h],tau.h[G[i],h]) I(-5,5) } for(j in 1:20){ # fitting process # ecological process model lambda[i,j] &lt...