Question

我试图在rstan中使用基本模型，我收到了这个错误：

错误：

TRANSLATING MODEL 'model_code' FROM Stan CODE TO C++ CODE NOW.
Error in .Call("CPP_stanc260", model_code, model_cppname) : 
  "CPP_stanc260" not resolved from current namespace (rstan)

回溯：

> traceback()
4: .Call("CPP_stanc260", model_code, model_cppname)
3: stanc(file = file, model_code = model_code, model_name = model_name, 
       verbose, ...)
2: stan_model(file, model_name = model_name, model_code = model_code, 
       boost_lib = boost_lib, eigen_lib = eigen_lib, save_dso = save_dso, 
       verbose = verbose, ...)
1: stan(model_code = model_code, data = LC_stan_data, iter = 1000, 
       chains = 4)

完整代码：

> log_bid_price_sample
 [1] 7.025538 6.437752 6.684612 5.857933 5.298317 4.382027 4.605170 4.605170 5.521461 7.090077 5.164786
[12] 6.856462 3.401197 7.090077 5.703782 3.911823 6.214608 6.214608 5.703782 5.703782

LC_stan_data <- list(N = 20,
                     log_bid_price = log_bid_price[1:20],
                     lawncare_needs = rnorm(20, mean = log_bid_price, sd = 10))

model_code = "
data {
  int <lower=0> N;
  real log_bid_price[N];
  real lawncare_needs[N];
}
parameters{
  real beta[1];
  real <lower = 0> sigma;
}
model {
  log_bid_price ~ normal(beta*Lawncare_needs, sigma)
}
"

fit <- stan(model_code = model_code, data = LC_stan_data,
            iter = 1000, chains = 4)

造成错误的原因是什么？

在rstan中拟合基本回归时，命名空间出错

0 个答案: