estimation

Currently the default block size in declustereted statistics is the median pairwise distance of a couple of samples. We could change the default to the mode instead.

Hello!

I've been trying to add error bars to the individual points (for technical replicates in an experiment). It seems the plot function generates a ggplot2 object but it's not mantaining the original variable names maybe?

require(dabestr)
require(dplyr)
require(ggplot2)

GroupCtrl = rnorm(n = 5, mean = 5000000, sd = 500000)
GroupTest = rnorm(n = 5, mean = 4500000, sd = 450000)

Is there any utility to adding type and cov.std options to mxStandardizeRAM?

FYI , in lavaan,

type for continuous variables

• "std.lv" var of latents only
• "std.all" = var of both manifest and latent variables
• "std.nox" like "all", but exclude var of exogenous covariates.

cov.std

• If TRUE, residual observed covariances scaled by sqrt ‘Theta’ diagonal (residual latent