mean2.mxPBF | R Documentation |
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mean2.mxPBF(X, Y, a0 = 0, b0 = 0, gamma = 1, nthreads = 1)
X |
an (n_x \times p) data matrix of 1st sample. |
Y |
an (n_y \times p) data matrix of 2nd sample. |
a0 |
shape parameter for inverse-gamma prior (default: 0). |
b0 |
scale parameter for inverse-gamma prior (default: 0). |
gamma |
non-negative variance scaling parameter (default: 1). |
nthreads |
number of threads for parallel execution via OpenMP (default: 1). |
a (list) object of S3
class htest
containing:
maximum of pairwise Bayes factor.
alternative hypothesis.
name of the test.
name(s) of provided sample data.
vector of pairwise Bayes factors in natural log.
## Not run: ## empirical Type 1 error with BF threshold = 10 niter = 1000 counter = rep(0,niter) # record p-values for (i in 1:niter){ X = matrix(rnorm(100*10), ncol=10) Y = matrix(rnorm(200*10), ncol=10) counter[i] = ifelse(mean2.mxPBF(X,Y)$statistic > 10, 1, 0) } ## print the result cat(paste("\n* Example for 'mean2.mxPBF'\n","*\n", "* number of rejections : ", sum(counter),"\n", "* total number of trials : ", niter,"\n", "* empirical Type 1 error : ",round(sum(counter/niter),5),"\n",sep="")) ## End(Not run)
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