Parallel Bootstrapping with plssem
In plssem: Complex Partial Least Squares Structural Equation Modeling

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = identical(Sys.getenv("IN_PKGDOWN"), "true")
)

library(plssem)

This vignette shows how to run bootstrap standard errors in parallel using boot.ncores and boot.parallel.

Example model (ordered indicators)

m <- '
  X =~ x1 + x2 + x3
  Z =~ z1 + z2 + z3
  Y =~ y1 + y2 + y3

  Y ~ X + Z + X:Z
'

All platforms: multisession (`boot.parallel = "multisession"`)

Use "multisession" to run the bootstrap across multiple background R sessions (works on Windows/macOS/Linux). "snow" is an alias for "multisession".

fit_ms <- pls(
  m,
  data          = oneIntOrdered,
  ordered       = colnames(oneIntOrdered),
  bootstrap     = TRUE,
  boot.R        = 500,
  boot.ncores   = 2,
  boot.parallel = "multisession",
  boot.iseed    = 123
)
summary(fit_ms)

Linux: forked processes (`boot.parallel = "multicore"`)

Use "multicore" on Linux (forking; not available on Windows).

fit_linux <- pls(
  m,
  data          = oneIntOrdered,
  ordered       = colnames(oneIntOrdered),
  bootstrap     = TRUE,
  boot.R        = 500,
  boot.ncores   = 2,
  boot.parallel = "multicore",
  boot.iseed    = 123
)
summary(fit_linux)