binomTest: One or Two Sample Binomial Tests

In abnormally-distributed/Bayezilla: Bayesian Models With JAGS and Several Utilities for Data Exploration and Model Evaluation.

Description

One or Two Sample Binomial Tests

Usage

binomTest(z, N, one.sample = TRUE, shape = c(0.5, 0.5), iter = 10000,
  warmup = 2500, adapt = 2500, chains = 4, thin = 3,
  method = "parallel", cl = makeCluster(2), summarise = FALSE, ...)

Arguments

z	a numeric value giving the number of succesful trials. If two sample, a vector such as c(1, 3)
N	a numeric value giving the total number of trials. If two sample, a vector such as c(5, 5)
one.sample	Defaults to TRUE
shape	the prior value for the shape parameters of the beta prior (defaults to c(0.50, 0.50))
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

Value

a runjags object

Examples

binomTest()

abnormally-distributed/Bayezilla documentation built on Oct. 31, 2019, 1:57 a.m.