View source: R/check_incidence.R
check_incidence | R Documentation |
Fit a Bayesian 3-level Poisson model using Stan to evaluate true incidence, quantify bias, and compare relative impact of selection vs. misclassification biases.
check_incidence(data, iter = 500, warmup = 100, chains = 4, cores,
seed = 123, nsimul)
data |
Data file. |
iter |
A positive integer specifying how many iterations for each chain (including warmup). The default is 500. |
warmup |
a positive integer specifying number of warmup (aka burnin)
iterations. Warmup samples should not be used for inference. The number of
warmup should not be larger than |
chains |
A positive integer specifying number of chains. Defaults to 4. |
cores |
Number of cores to use when executing the chains in parallel (up to the number of chains). |
seed |
Positive integer. Used by |
nsimul |
Number of simulations. |
An object of class stanfit
.
Denis Haine
sim_list <- vector("list", 1)
set.seed(123)
sim_list <- replicate(n = 1, expr = make_data(100, 30, "saureus"), simplify = FALSE)
## Not run: check_incidence(sim_list,
iter = 200,
warmup = 25,
chains = 1,
cores = 1,
seed = 123,
nsimul = 1)
## End(Not run)
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