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R version 3.6.2 Patched (2020-02-12 r77795) -- "Dark and Stormy Night"
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> ## reproducible examples.
>
> library(parallel)
>
> if(require(boot)) {
+ run1 <- function(...) {
+ library(boot)
+ cd4.rg <- function(data, mle) MASS::mvrnorm(nrow(data), mle$m, mle$v)
+ cd4.mle <- list(m = colMeans(cd4), v = var(cd4))
+ boot(cd4, corr, R = 500, sim = "parametric",
+ ran.gen = cd4.rg, mle = cd4.mle)
+ }
+ cl <- makeCluster(mc <- 2)
+ clusterSetRNGStream(cl, 123)
+ cd4.boot <- do.call(c, parLapply(cl, seq_len(mc), run1))
+ print(boot.ci(cd4.boot, type = c("norm", "basic", "perc"),
+ conf = 0.9, h = atanh, hinv = tanh))
+ stopCluster(cl)
+ }
Loading required package: boot
BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
Based on 1000 bootstrap replicates
CALL :
boot.ci(boot.out = cd4.boot, conf = 0.9, type = c("norm", "basic",
"perc"), h = atanh, hinv = tanh)
Intervals :
Level Normal Basic Percentile
90% ( 0.4705, 0.8589 ) ( 0.4620, 0.8597 ) ( 0.4900, 0.8689 )
Calculations on Transformed Scale; Intervals on Original Scale
>
>
> proc.time()
user system elapsed
0.197 0.038 0.725