BayesFactor Package R：两种不同的输出

Question

我正在使用 BayesFactor 包，但我得到 两个不同的输出 对于 相同的数据 使用 两个非常相似的代码。我想知道哪个是正确的？

if(!require(BayesFactor)){install.packages('BayesFactor')}

require(BayesFactor)
##################################################

exp(ttest.tstat(t= 2 , n1=40, n2=40, nullInterval =c(0, Inf), rscale = sqrt(2)/2,
        complement = FALSE, simple = FALSE)$bf)   ### !CHECK THIS OUTPUT! ###


exp(ttest.tstat(t= 2 , n1=40, n2=40, nullInterval =c(0, Inf), rscale = sqrt(2)/2, 
       complement = FALSE, simple = TRUE))    ### !CHECK THIS OUTPUT! ###

Answer 1

在?ttest.tstat

的文档中有提到

If simple is TRUE, returns the Bayes factor (against the null). If FALSE, the function returns a vector of length 3 containing the computed log(e) Bayes factor, along with a proportional error estimate on the Bayes factor and the method used to compute it.

本质上，我们不需要在simple=TRUE

时取exp

ttest.tstat(t= 2 , n1=40, n2=40, nullInterval =c(0, Inf),
   rscale = sqrt(2)/2, complement = FALSE, simple = TRUE)
#     B10 
# 2.502954

而 simple=FALSE

exp(ttest.tstat(t= 2 , n1=40, n2=40, nullInterval =c(0, Inf),
        rscale = sqrt(2)/2, complement = FALSE, simple = FALSE)$bf)
#[1] 2.502954

BayesFactor Package R：两种不同的输出

BayesFactor Package R: Two different Output

r

bayesian