bcor.testSumStat: Summary stats version of "bcor.test()"

In AlexanderLyNL/bstats: Bayesian statistics

Summary stats version of "bcor.test()"

Description

Summary stats version of "bcor.test()"

Usage

bcor.testSumStat(
  n,
  stat,
  alternative = c("two.sided", "less", "greater"),
  method = c("pearson", "kendall", "spearman"),
  ciValue = 0.95,
  h0 = 0,
  kappa = 1,
  hyperGeoOverFlowThreshold = 25,
  oneThreshold = 0.001,
  var = 1,
  k = 0
)

Arguments

n	number of observations
stat	sample correlation coefficient
alternative	indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less". "greater" corresponds to positive association, "less" to negative association.
method	a character string indicating which correlation coefficient is to b used for the test. One of "pearson", "kendall" or "spearman".
ciValue	numeric in (0, 1) credible level for the returned credible interval.
h0	numeric between -1 and 1 that specifies the point null hypothesis
kappa	numeric > 0 that specifies the
hyperGeoOverFlowThreshold	numeric > 0 such that if log(bf10) > hyperGeoOverFlowThreshold then the Savage-Dickey adaptation is used for to compute the one-sided Bayes factors, instead of the analytical ones.
oneThreshold	numeric > 0 such that if abs(1 - stat) < oneThreshold, then abs(stat) is viewed as one.
var	numeric > 0 that specifies the asymptotic variance of the approximate likelihood for Kendall's tau
k	number of controlling variables

Value

A list with class "btest" containing the following components:

Examples

bcor.testSumStat(n=34, stat=0.4)
bcor.testSumStat(n=34, stat=0.4, method="kendall")
bcor.testSumStat(n=34, stat=0.45, k = 1)

AlexanderLyNL/bstats documentation built on Sept. 11, 2023, 4:10 p.m.