corTest: Bivariate Correlation Test

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

Description

Bivariate Correlation Test

Usage

corTest(x, y = NULL, iter = 10000, warmup = 2500, adapt = 2500,
  chains = 4, thin = 3, method = "parallel", cl = makeCluster(2),
  ...)

Arguments

x	a data frame or matrix containing two variables to be correlated, OR a single vector to be paired with y.
y	if x is a vector, put the second variable to be correlated here.
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

corTest(iris$Sepal.Width, iris$Petal.Length)

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