Description Usage Arguments Details Value Examples
Builds and compiles a defined Stan model
1 | build.model(ikde.model)
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ikde.model |
An object of class ikde.model, e.g., from define.model |
Builds Stan model using defined ikde.model, then compiles the model and stores DSO for fast running.
Returns an ikde.model object with the following elements
data |
A list of data passed to the Stan program |
transformed.data |
A list describing data transformations for the Stan program to perform |
parameters |
A list of parameters used in the Stan program |
transformed.parameters |
A list describing parameter transformations for the Stan program to perform |
model |
A list describing the Stan model |
stan.code |
Stan code for the model |
stan.data |
Data passed to Stan for estimation |
stan.dso |
DSO for Stan model, allows Stan to run model without recompilation |
built |
Boolean indicating whether the model has been built |
density.variable |
List containing two elements: "name" of the variable on which density estimation should be performed on, and "value" indicating the point at which density should be estimated |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | data(lm.generated)
X <- lm.generated$X
y <- lm.generated$y
data <- list(N = list(type = "int<lower=1>", dim = 1, value = nrow(X)),
k = list(type = "int<lower=1>", dim = 1, value = ncol(X)),
X = list(type = "matrix", dim = "[N, k]", value = X),
y = list(type = "vector", dim = "[N]", value = y))
parameters <- list(beta = list(type = "vector", dim = "[k]"),
sigma_sq = list(type = "real<lower=0>", dim = 1))
model <- list(priors = c("beta ~ normal(0, 10);",
"sigma_sq ~ inv_gamma(1, 1);"),
likelihood = c("y ~ normal(X * beta, sqrt(sigma_sq));"))
ikde.model <- define.model(data, parameters, model)
ikde.model <- build.model(ikde.model)
cat(ikde.model$stan.code)
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