boot_fit: Fit Model on Bootstrap Resamples

In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

Description

Fits a specified model on the bootstrap resamples.

Usage

boot_fit(boot_resamples, fitFUN, cluster = FALSE, cores = NULL, ...)

Arguments

boot_resamples	A list of bootstrap resamples.
fitFUN	Function to use to fit the model.
cluster	Logical. If TRUE, parallelize computations using a cluster.
cores	Integer. Number of cores to use. Defaults to total number of threads minus 1.
...	Arguments to pass to fitFUN.

See Also

Other bootstrap functions: boot_lav(), boot_nb(), boot_pb_med_simple(), boot_pb_vm(), boot_pb()

Examples

B <- 5
Sigma <- matrix(
  data = c(
    225, 112.50, 56.25,
    112.5, 225, 112.5,
    56.25, 112.50, 225
  ),
  ncol = 3
)
mu <- c(100, 100, 100)
data <- gendat_mvn(
  n = 100,
  Sigma = Sigma,
  mu = mu
)
boot_nb_resamples <- boot_nb(data = data, B = B)
nb <- boot_fit(boot_resamples = boot_nb_resamples, fitFUN = med_simple)
n <- nrow(data)
est_Sigma <- cov(data)
est_mu <- colMeans(data)
boot_pb_resamples <- boot_pb(n = n, Sigma = est_Sigma, mu = est_mu, B = B)
pb <- boot_fit(boot_resamples = boot_pb_resamples, fitFUN = med_simple)

jeksterslabds/jeksterslabRds documentation built on July 16, 2020, 3:41 p.m.