Clean_Sigma: Clean_Sigma function

In Rnets: Resistance Relationship Networks using Graphical LASSO

Description

Primarily a convenience function, Clean_Sigma estimates a correlation (Sigma) matrix that may contain substantial amounts of missing data and returns it in an easily usable form for the glasso function.

Usage

Clean_Sigma(x, cor_method = "s", cor_pairing = "pair",
  replace.na = TRUE)

Arguments

x	Data used to estimate the correlation matrix.
cor_method	Character indicating method used to estimate correlations. Defaults to Spearman's method. See help file for 'cor' function.
cor_pairing	Character indicating the method used to determine how NA entries are handled. See help file for 'cor' function.
replace.na	Logical. Will replace NAs with 0s if TRUE.

Rnets documentation built on July 23, 2019, 9:04 a.m.