NetworkToolbox: reg – R documentation

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reg

Regression Matrix

Computes regression such that one variable is regressed over all other variables

reg(
  data,
  family = c("binomial", "gaussian", "Gamma", "poisson"),
  symmetric = TRUE
)

`data`	A dataset
`family`	Error distribution to be used in the regression model. Defaults to `"logistic"`. Set to any family used in function `family`
`symmetric`	Should matrix be symmetric? Defaults to `TRUE`, taking the mean of the two edge weights (i.e., `[i,j]` and `[j,i]`) Set to `FALSE` for asymmetric weights (i.e., `[i,j]` does not equal `[j,i]`)

A matrix of fully regressed coefficients where one variable is regressed over all others

Alexander Christensen <alexpaulchristensen@gmail.com>

#binarize responses
psyb <- ifelse(neoOpen>=4, 1, 0)

#perform logistic regression
mat <- reg(psyb)

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07