Description Usage Arguments Value Examples
View source: R/poisson_binomial.R
Poisson Test
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x |
number of events. A vector of length one or two. |
t |
time base for event count. A vector of length one or two. |
r |
comparison value (only applies to one sample) on scale of lambda. Ie, on the scale of lambda_raw/t. Defaults to 1 and should typically stay 1 unless you have a specific hypothesis. |
shra |
the shape and rate parameters of the gamma prior. Defaults to c(1e-6, 1e-6) which is non-informative and yields a posterior mean typically equal to the maximum likelihood estimate. |
one.sample |
Defaults to TRUE |
iter |
the number of iterations. defaults to 10000. |
warmup |
number of burnin samples. defaults to 2500. |
adapt |
number of adaptation steps. defaults to 2500. |
chains |
number of chains. defaults to 4. |
thin |
the thinning interval. defaults to 3. |
method |
Defaults to "parallel". For an alternative parallel option, choose "rjparallel" or. Otherwise, "rjags" (single core run). |
cl |
Use parallel::makeCluster(# clusters) to specify clusters for the parallel methods. Defaults to two cores. |
... |
other arguments to run.jags |
an rjags object
1 | poisTest()
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