bootLongPsi: bootLongPsi

In PratheepaJ/bootLong: The Block Bootstrap Method for Longitudinal Count Data

Description

Compute ψ = two-sided probability with a given block size.

Usage

bootLongPsi(ps, main_factor = main_factor, time_var = time_var,
  subjectID_var = subjectID_var, sampleID_var = sampleID_var, b, R, RR,
  T.obs.full = NULL, ncores, compStatParallel = FALSE)

Arguments

ps	phyloseq object.
main_factor	Character string. The name of the covariate variable.
time_var	Character string. The name of the time variable.
subjectID_var	Character string. The name of the subject ID variable.
sampleID_var	Character string. The name of the sample ID variable.
b	A numeric. The block size to account for the dependence within-subject.
R	A numeric. The number of block bootstrap realizations.
RR	A numeric. The number of double block bootstrap realizations.
T.obs.full	A numeric vector. The numeric vector of observed statistic.
ncores	A numeric. The number of cores to use in mclapply.
compStatParallel	A logical. True is used to use parallel in computeStat and disable parallel in bootLongPsi or bootLongMethod.

Value

A list with the first element K.val - two-sided significance probability and the second element observed test statistic.

PratheepaJ/bootLong documentation built on April 5, 2020, 2:19 p.m.