empirical.distributions: Empirical Null Distribution of Tree Dimension Test

In TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data

Empirical Null Distribution of Tree Dimension Test

Description

Computes empirical null distribution of S statistic and parameters for lognormal approximation for input of size rows * columns using multivariate normal randomization

Usage

empirical.distributions(rows, cols, perm = 100, MST = c("boruvka", "exact"))

Arguments

rows	number of rows for data representing null case. Rows represent sample size.
cols	number of columns for data representing null case. Columns represent variables.
perm	number of simulations to compute null distribution. Default is 100.
MST	name of MST to be used in computing distribution. There are two options; "exact" MST and "boruvka" which is faster for large samples

Value

A list with the following components:

• dist A vector with null distribution of s statistic

• meanlog The meanlog parameter estimation for the lognormal distribution on empirical null distribution S.

• sdlog The sdlog parameter estimation for lognormal distribution on empirical null distribution of S.

TreeDimensionTest documentation built on March 18, 2022, 7:45 p.m.