mixedcirc_boottest: Bootstrap Testing for Circadian Data

In PayamEmami/mixedcirc: Circadian rhythm analysis using mixed models

Bootstrap Testing for Circadian Data

Description

This function performs bootstrap testing on fitted (mixed) circadian models.

Usage

mixedcirc_boottest(
  object,
  nsim,
  seed,
  parallel = c("no", "multicore", "snow"),
  ncpus = getOption("boot.ncpus", 1L),
  boot.type = c("perc", "basic", "norm")[1],
  conf_level = 0.95,
  abs_phase = TRUE,
  ...
)

Arguments

object	A fitted model object of class mixedcirc_fit.
nsim	Number of bootstrap simulations.
seed	seed for reproducibitly
parallel	The type of parallel processing to use ("no", "multicore", "snow").
ncpus	Number of CPU cores to use for parallel processing.
boot.type	Type of bootstrap confidence interval ("perc", "basic", "norm").
conf_level	Confidence level for the bootstrap intervals.
abs_phase	Logical; if TRUE, absolute phases are returned.
...	Additional arguments passed to bootMer.

Value

A mixedcirc_boot object containing:

• results: A data frame with bootstrap statistics.

• metadata: Metadata about the bootstrap procedure.

• original_model: The original fitted model object.

Examples

## Not run: 
  # Example usage
  result <- mixedcirc_boottest(fitted_model, nsim = 1000)

## End(Not run)

PayamEmami/mixedcirc documentation built on Jan. 15, 2025, 5:36 p.m.