R OpenBugs模型错误

我期待着运行一个层次泊松模型曲棍球球门倾向数据。以下是在bugs中设置的模型：

modelString <- "model {

  for(i in 1:n_obs){

    hockey_goals[i] ~ dpois(p[i])


    log(p[i]) <- p_inter + p_age * age[i] + p_sv_pct * sv_pct[i] + p_team * team[i] + p_win_pct * win_pct[i] + log(n_mins[i])

  }
  p_inter ~ dnorm(0,0.00001)
  p_age ~ dnorm(0, 0.00001)
  p_sv_pct ~ dnorm(0, 0.00001)
  p_team ~ dnorm(0, 0.00001)
  p_win_pct ~ dnorm(0, 0.00001)

}"

---

modelString我希望我能发表评论，但我没有足够的声誉。无论如何，我编造了一些数据，并运行了您模型的简化版本（即，只播放年龄和分钟数）。我在OpenBUGS的GUI版本中运行了它，但它不起作用。然后，我将您系数的优先级更改为
dnorm（0,0.01
），并进行了更新。
所以我建议改变前科。你所拥有的是非常非常模糊的。按建议更改它们不会影响您的推断，您可能会运行模型

season_goals <- data$GA
n_mins <- data$MIN
age <- data$Age
sv_pct <- data$SV.
team <- data$Tm
win_pct <- data$W/data$GP
data <- list(n_obs=length(season_goals),n_mins=n_mins,hockey_goals=season_goals,age=age,
sv_pct=sv_pct,team=team,win_pct=win_pct)

# Get the data into BUGS:
modelData( bugsData( data ) )
#------------------------------------------------------------------------------
# INTIALIZE THE CHAINS.

nchain = 1
modelCompile( numChains=nchain )
modelGenInits()

#------------------------------------------------------------------------------
# RUN THE CHAINS.
samplesSet( c("p_age","p_sv_pct","p_team","p_win_pct") )
# R command defines a new variable that specifies an arbitrary chain length:
chainLength = 10000
# BRugs tells BUGS to generate a MCMC chain:
modelUpdate( chainLength )