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bsd
2007 Jul 24
1
function optimization: reducing the computing time
...tandard deviation, correlation, group size)
# n.simul: number of simulations
# two-sided (Boolean): two-sided (T) vs. one-sided (F) Bayesian
Credible interval
# standardized (Boolean): standardized (T) vs. unstandardized (F) test
# values are: $p.value (one_tailed), $confidence.interval
crawford.BSDT <- function(patient, controls, mean.c=0, sd.c=0 , r=0,
n=0, na.rm=F, n.simul=100000, two.sided=T, standardized=T)
{
library(MCMCpack)
#if no summaries are entered, they are computed
if(missing(n))
{
if(!is.data.frame(controls)) controls <- as.data.frame(controls)
n <- dim(cont...