Description Usage Arguments Value Examples
Generate a stanfit object corresponding to a posterior distribution of uncorrected odds ratio given no misclassification.
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a |
number of exposed subjects in the case group. |
N1 |
number of total subjects in the case group. |
c |
number of exposed subjects in the control group. |
N0 |
number of total subjects in the control group. |
logitpi0_prior |
mean and sd of the prior normal distribution of |
lor_prior |
mean and sd of the prior normal distribution of corrected log odds ratio. Default to |
chains |
number of Markov Chains. Default to 2. |
traceplot |
Logical, defaulting to |
inc_warmup |
Only evaluated when |
window |
Only evaluated when |
refresh |
an integer value used to control how often the progress of sampling is reported. By default, the progress indicator is turned off, thus refresh <= 0. If on, refresh = max(iter/10, 1) is generally recommended. |
seed |
the seed for random number generation. See stan for more details. |
... |
optional parameters passed to stan. |
It returns a stanfit object of this model, which inherits stanfit class methods. See rstan for more details.
1 2 3 4 5 | # Case-control study data of Bipolar Disorder with rheumatoid arthritis (Farhi et al. 2016)
# Data from \url{https://www.sciencedirect.com/science/article/pii/S0165032715303864#bib13}
# 3 MCMC chains with 10000 iterations each
crudeOR(a = 66, N1 = 11782, c = 243, N0 = 57973, chains = 3, iter = 10000)
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